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• How can a data ellipse be superimposed on a ggplot2 scatterplot?

  - by Radu

  Hi, I have an R function which produces 95% confidence ellipses for scatterplots. The output looks like this, having a default of 50 points for each ellipse (50 rows): [,1] [,2] [1,] 0.097733810 0.044957994 [2,] 0.084433494 0.050337990 [3,] 0.069746783 0.054891438 I would like to superimpose a number of such ellipses for each level of a factor called 'site' on a ggplot2 scatterplot, produced from this command: > plat1 <- ggplot(mapping=aes(shape=site, size=geom), shape=factor(site)); plat1 + geom_point(aes(x=PC1.1,y=PC2.1)) This is run on a dataset, called dflat which looks like this: site geom PC1.1 PC2.1 PC3.1 PC1.2 PC2.2 1 Buhlen 1259.5649 -0.0387975838 -0.022889782 0.01355317 0.008705276 0.02441577 2 Buhlen 653.6607 -0.0009398704 -0.013076251 0.02898955 -0.001345149 0.03133990 The result is fine, but when I try to add the ellipse (let's say for this one site, called "Buhlen"): > plat1 + geom_point(aes(x=PC1.1,y=PC2.1)) + geom_path(data=subset(dflat, site="Buhlen"),mapping=aes(x=ELLI(PC1.1,PC2.1)[,1],y=ELLI(PC1.1,PC2.1)[,2])) I get an error message: "Error in data.frame(x = c(0.0977338099339815, 0.0844334944904515, 0.0697467834016782, : arguments imply differing number of rows: 50, 211 I've managed to fix this in the past, but I cannot remember how. It seems that geom_path is relying on the same points rather than plotting new ones. Any help would be appreciated.

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• how to handle an asymptote/discontinuity with Matplotlib

  - by Geddes

  Hello all. Firstly - thanks again for all your help. Sorry not to have accepted the responses to my previous questions as I did not know how the system worked (thanks to Mark for pointing that out!). I have since been back and gratefully acknowledged the kind help I have received. My question: when plotting a graph with a discontinuity/asymptote/singularity/whatever, is there any automatic way to prevent Matplotlib from 'joining the dots' across the 'break'? (please see code/image below). I read that Sage has a [detect_poles] facility that looked good, but I really want it to work with Matplotlib. Thanks and best wishes, Geddes import matplotlib.pyplot as plt import numpy as np from sympy import sympify, lambdify from sympy.abc import x fig = plt.figure(1) ax = fig.add_subplot(111) # set up axis ax.spines['left'].set_position('zero') ax.spines['right'].set_color('none') ax.spines['bottom'].set_position('zero') ax.spines['top'].set_color('none') ax.xaxis.set_ticks_position('bottom') ax.yaxis.set_ticks_position('left') # setup x and y ranges and precision xx = np.arange(-0.5,5.5,0.01) # draw my curve myfunction=sympify(1/(x-2)) mylambdifiedfunction=lambdify(x,myfunction,'numpy') ax.plot(xx, mylambdifiedfunction(xx),zorder=100,linewidth=3,color='red') #set bounds ax.set_xbound(-1,6) ax.set_ybound(-4,4) plt.show()

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• MATLAB only prints a part of my figure

  - by simonty

  I'm trying to print my figure in Matlab, but it keeps screwing up and I have no idea why. opslaan = figure(1); plot(1:handles.aantal,handles.nauw,'-r','LineWidth',1.5); xlabel(gca,sprintf('Framenummer (%g ms per frame)',60/handles.aantal)); ylabel(gca,'dB'); set(gca,'YGrid','on'); yAsMax = ceil( ceil(max(handles.nauw)) / 2) * 2; axis([0 handles.aantal 0 yAsMax]); pause(1); print -dpng image.png The first line is just plotting the data on my figure, then labeling x and y, turning on grid and caculating the y-axis like I want it. This all works great and Matlab shows it like I want it in the Figure window. When saving to .png / .jpeg / .eps it goes wrong and only prints the bottom left corner (473x355 pixels), the rest just disappeared. When exporting manually via File - Save As, it works correctly. Any help? Thanks!

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• Help with mysql sum and group query and managing jquery graph results.

  - by Scarface

  Hey guys, I have a system I am trying to design that will retrieve information from a database, so that it can be plotted in a jquery graph. I need to retrieve the information and somehow put it in the necessary format (for example two coordinates var d = [[1269417600000, 10],[1269504000000, 15]];). My table that I am selecting from is a table that stores user votes with fields: points_id (1=vote up ,2=vote down), user_id, timestamp, and topic_id. What I need to do is select all the votes and somehow group them into respective days and then sum the difference between 1 votes and 2 votes for each day. I then need to somehow display the data in the appropriate plotting format shown earlier. For example April 1, 4 votes. The data needs to be separated by commas, except the last plot entry, so I am not sure how to approach that. I showed an example below of the kind of thing I need but it is not correct, echo "var d=["; $query=mysql_query("SELECT *, SUM(IF(points_id = \"1\", 1,0))-SUM(IF([points_id = \"2\", 1,0)) AS 'total' FROM points LEFT JOIN topic on topic.topic_id=points.topic_id WHERE topic.creator='$user' GROUP by timestamp HAVING certain time interval"); while ($row=mysql_fetch_assoc($query)){ $timestamp=$row['timestamp']; $votes=$row['total']; echo "[$timestamp,$vote],"; } echo "];";

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• Get percentiles of data-set with group by month

  - by Cylindric

  Hello, I have a SQL table with a whole load of records that look like this: | Date | Score | + -----------+-------+ | 01/01/2010 | 4 | | 02/01/2010 | 6 | | 03/01/2010 | 10 | ... | 16/03/2010 | 2 | I'm plotting this on a chart, so I get a nice line across the graph indicating score-over-time. Lovely. Now, what I need to do is include the average score on the chart, so we can see how that changes over time, so I can simply add this to the mix: SELECT YEAR(SCOREDATE) 'Year', MONTH(SCOREDATE) 'Month', MIN(SCORE) MinScore, AVG(SCORE) AverageScore, MAX(SCORE) MaxScore FROM SCORES GROUP BY YEAR(SCOREDATE), MONTH(SCOREDATE) ORDER BY YEAR(SCOREDATE), MONTH(SCOREDATE) That's no problem so far. The problem is, how can I easily calculate the percentiles at each time-period? I'm not sure that's the correct phrase. What I need in total is: A line on the chart for the score (easy) A line on the chart for the average (easy) A line on the chart showing the band that 95% of the scores occupy (stumped) It's the third one that I don't get. I need to calculate the 5% percentile figures, which I can do singly: SELECT MAX(SubQ.SCORE) FROM (SELECT TOP 45 PERCENT SCORE FROM SCORES WHERE YEAR(SCOREDATE) = 2010 AND MONTH(SCOREDATE) = 1 ORDER BY SCORE ASC) AS SubQ SELECT MIN(SubQ.SCORE) FROM (SELECT TOP 45 PERCENT SCORE FROM SCORES WHERE YEAR(SCOREDATE) = 2010 AND MONTH(SCOREDATE) = 1 ORDER BY SCORE DESC) AS SubQ But I can't work out how to get a table of all the months. | Date | Average | 45% | 55% | + -----------+---------+-----+-----+ | 01/01/2010 | 13 | 11 | 15 | | 02/01/2010 | 10 | 8 | 12 | | 03/01/2010 | 5 | 4 | 10 | ... | 16/03/2010 | 7 | 7 | 9 | At the moment I'm going to have to load this lot up into my app, and calculate the figures myself. Or run a larger number of individual queries and collate the results.

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• Fixing color in scatter plots in matplotlib

  - by ajhall

  Hi guys, I'm going to have to come back and add some examples if you need them, which you might. But, here's the skinny- I'm plotting scatter plots of lab data for my research. I need to be able to visually compare the scatter plots from one plot to the next, so I want to fix the color range on the scatter plots and add in a colorbar to each plot (which will be the same in each figure). Essentially, I'm fixing all aspects of the axes and colorspace etc. so that the plots are directly comparable by eye. For the life of me, I can't seem to get my scatter() command to properly set the color limits in the colorspace (default)... i.e., I figure out my total data's min and total data's max, then apply them to vmin, vmax, for the subset of data, and the color still does not come out properly in both plots. This must come up here and there, I can't be the only one that wants to compare various subsets of data amongst plots... so, how do you fix the colors so that each data keeps it's color between plots and doesn't get remapped to a different color due to the change in max/min of the subset -v- the whole set? I greatly appreciate all your thoughts!!! A mountain-dew and fiery-hot cheetos to all! -Allen

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• Python Turtle Graphics, how to plot functions over an interval?

  - by TheDragonAce

  I need to plot a function over a specified interval. The function is f1, which is shown below in the code, and the interval is [-7, -3]; [-1, 1]; [3, 7] with a step of .01. When I execute the program, nothing is drawn. Any ideas? import turtle from math import sqrt wn = turtle.Screen() wn.bgcolor("white") wn.title("Plotting") mypen = turtle.Turtle() mypen.shape("classic") mypen.color("black") mypen.speed(10) while True: try: def f1(x): return 2 * sqrt((-abs(abs(x)-1)) * abs(3 - abs(x))/((abs(x)-1)*(3-abs(x)))) * \ (1 + abs(abs(x)-3)/(abs(x)-3))*sqrt(1-(x/7)**2)+(5+0.97*(abs(x-0.5)+abs(x+0.5))-\ 3*(abs(x-0.75)+abs(x+0.75)))*(1+abs(1-abs(x))/(1-abs(x))) mypen.penup() step=.01 startf11=-7 stopf11=-3 startf12=-1 stopf12=1 startf13=3 stopf13=7 def f11 (startf11,stopf11,step): rc=[] y = f1(startf11) while y<=stopf11: rc.append(startf11) #y+=step mypen.setpos(f1(startf11)*25,y*25) mypen.dot() def f12 (startf12,stopf12,step): rc=[] y = f1(startf12) while y<=stopf12: rc.append(startf12) #y+=step mypen.setpos(f1(startf12)*25, y*25) mypen.dot() def f13 (startf13,stopf13,step): rc=[] y = f1(startf13) while y<=stopf13: rc.append(startf13) #y+=step mypen.setpos(f1(startf13)*25, y*25) mypen.dot() f11(startf11,stopf11,step) f12(startf12,stopf12,step) f13(startf13,stopf13,step) except ZeroDivisionError: continue

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• Binary files printing and desired precision

  - by yCalleecharan

  Hi, I'm printing a variable say z1 which is a 1-D array containing floating point numbers to a text file so that I can import into Matlab or GNUPlot for plotting. I've heard that binary files (.dat) are smaller than .txt files. The definition that I currently use for printing to a .txt file is: void create_out_file(const char *file_name, const long double *z1, size_t z_size){ FILE *out; size_t i; if((out = _fsopen(file_name, "w+", _SH_DENYWR)) == NULL){ fprintf(stderr, "***> Open error on output file %s", file_name); exit(-1); } for(i = 0; i < z_size; i++) fprintf(out, "%.16Le\n", z1[i]); fclose(out); } I have three questions: Are binary files really more compact than text files?; If yes, I would like to know how to modify the above code so that I can print the values of the array z1 to a binary file. I've read that fprintf has to be replaced with fwrite. My output file say dodo.dat should contain the values of array z1 with one floating number per line. I have %.16Le up in my code but I think that %.15Le is right as I have 15 precision digits with long double. I have put a dot (.) in the width position as I believe that this allows expansion to an arbitrary field to hold the desired number. Am I right? As an example with %.16Le, I can have an output like 1.0047914240730432e-002 which gives me 16 precision digits and the width of the field has the right width to display the number correctly. Is placing a dot (.) in the width position instead of a width value a good practice? Thanks a lot...

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• How can I superimpose modified loess lines on a ggplot2 qplot?

  - by briandk

  Background Right now, I'm creating a multiple-predictor linear model and generating diagnostic plots to assess regression assumptions. (It's for a multiple regression analysis stats class that I'm loving at the moment :-) My textbook (Cohen, Cohen, West, and Aiken 2003) recommends plotting each predictor against the residuals to make sure that: The residuals don't systematically covary with the predictor The residuals are homoscedastic with respect to each predictor in the model On point (2), my textbook has this to say: Some statistical packages allow the analyst to plot lowess fit lines at the mean of the residuals (0-line), 1 standard deviation above the mean, and 1 standard deviation below the mean of the residuals....In the present case {their example}, the two lines {mean + 1sd and mean - 1sd} remain roughly parallel to the lowess {0} line, consistent with the interpretation that the variance of the residuals does not change as a function of X. (p. 131) How can I modify loess lines? I know how to generate a scatterplot with a "0-line,": # First, I'll make a simple linear model and get its diagnostic stats library(ggplot2) data(cars) mod <- fortify(lm(speed ~ dist, data = cars)) attach(mod) str(mod) # Now I want to make sure the residuals are homoscedastic qplot (x = dist, y = .resid, data = mod) + geom_smooth(se = FALSE) # "se = FALSE" Removes the standard error bands But does anyone know how I can use ggplot2 and qplot to generate plots where the 0-line, "mean + 1sd" AND "mean - 1sd" lines would be superimposed? Is that a weird/complex question to be asking?

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• What Javascript graphing package will let me plot points against a user-selected coordinate system?

  - by wes

  My customer has some specific requirements for a graph to show in our web app. We use HighCharts elsewhere in the app for more traditional graphing, but it doesn't seem to work for this situation. Their requirements: Allow the user to select a background image, set the scale and origin of the coordinate system. We'll graph our points against the user-defined coordinates. Points can be color coded Mouse-over boxes show more detail about the points Support for zooming and panning, scaling the background appropriately Less importantly: Support for drawing vectors off the points Some of this seems basic, but looking around at different graph packages, I was unable to find any with an example of this kind of usage. I've entertained the thought of just hacking it together in canvas myself, but I've never worked with canvas before so I don't think it would be cost effective. The basics of plotting points with a scaled coordinate system against an image background wouldn't be too hard, but the mouse-over details, zooming and panning sound much more daunting to me. More info: Right now we use jQuery, HighCharts, and ExtJS for our app. We tried flot in the past but switched to HighCharts after flot didn't meet our needs.

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• Plot vectors with labels in matlab

  - by mad

  I have a Nx62 matrix with N 62-D vectors and a NX1 vector with the labels for the vectors. I am trying to plot these vectors with their labels because I want to see the behavior of these classes when plotted in a 62-dimensional space. The vectors belong to three classes according to the labels of a NX1 vector cited before. How to to that in matlab? when i do plot(vector,classes) the result is very weird to analyse, how to put labels in the graph? The code i am using to get the labels, vectors and plotting is the following: %labels is a vector with labels, vectors is a matrix where each line is a vector [labels,vectors]=libsvmread('features-im1.txt'); when I plot a three dimensional vector is simple a=[1,2,3] plot(a) and then I get the result but now i have a set of vectors and a set of labels, and i want to see the distribution of them, i want to plot each of these labels but also want to identify their classes. How to do that in matlab? EDIT: This code is almost working. The problem is the fact that for each vector and class the plot will assign a color. I just want three colors and three labels, one per class. [class,vector]=libsvmread('features-im1.txt'); %the plot doesn't allow negative and 0 values in the label class=class+2; labels = {'class -1','class 0','class 1'}; h = plot(vector); legend(h,labels{class})

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• Matlab set defaultTextInterpreter to LaTeX

  - by Maurits

  I am running Matlab R2010A on OS X 10.7.5 I have a simple matlab plot and would like to use LaTeX commands in the axis and legend. However setting: set(0, 'defaultTextInterpreter', 'latex'); Has zero effect, and results in a TeX warning that my tex commands can not be parsed. If I open plot tools of this plot, the default interpreter is set to 'TeX'. Manually setting this to 'LaTeX' obviously fixes this, but I can't do this for hundreds of plots. Now, if I retrieve the default interpreter via the Matlab prompt, i.e get(0,'DefaultTextInterpreter') It says 'LaTeX', but again, when I look in the properties of the figure via the plot tools menu, the interpreter remains set to 'TeX'. Complete plotting code: figure f = 'somefile.eps' set(0, 'defaultTextInterpreter', 'latex'); ms = 8; fontSize = 18; loglog(p_m_sip, p_fa_sip, 'ko-.', 'LineWidth', 2, 'MarkerSize', ms); hold on; xlabel('$P_{fa}$', 'fontsize', fontSize); ylabel('$P_{m}$', 'fontsize', fontSize); legend('$\textbf{K}_{zz}$', 'Location', 'Best'); set(gca, 'XMinorTick', 'on', 'YMinorTick', 'on', 'YGrid', 'on', 'XGrid', 'on'); print('-depsc2', f);

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• Help with mysql sum and group query and managing results for jquery graph.

  - by Scarface

  I have a system I am trying to design that will retrieve information from a database, so that it can be plotted in a jquery graph. I need to retrieve the information and somehow put it in the necessary coordinates format (for example two coordinates var d = [[1269417600000, 10],[1269504000000, 15]];). My table that I am selecting from is a table that stores user votes with fields: points_id (1=vote up, 2=vote down), user_id, timestamp, topic_id What I need to do is select all the votes and somehow group them into respective days and then sum the difference between 1 votes and 2 votes for each day. I then need to somehow display the data in the appropriate plotting format shown earlier. For example April 1, 4 votes. The data needs to be separated by commas, except the last plot entry, so I am not sure how to approach that. I showed an example below of the kind of thing I need but it is not correct, echo "var d=["; $query=mysql_query( "SELECT *, SUM(IF(points_id = \"1\", 1,0))-SUM(IF([points_id = \"2\", 1,0)) AS 'total' FROM points LEFT JOIN topic ON topic.topic_id=points.topic_id WHERE topic.creator='$user' GROUP by timestamp HAVING certain time interval" ); while ($row=mysql_fetch_assoc($query)){ $timestamp=$row['timestamp']; $votes=$row['total']; echo "[$timestamp,$vote],"; } echo "];";

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• Unable to plot graph using matplotlib

  - by Aman Deep Gautam

  I have the following code which searches all the directory in the current directory and then takes data from those files to plot the graph. The data is read correctly as verified by printing but there are no points plotted on graph. import argparse import os import matplotlib.pyplot as plt #find the present working directory pwd=os.path.dirname(os.path.abspath(__file__)) #find all the folders in the present working directory. dirs = [f for f in os.listdir('.') if os.path.isdir(f)] plt.figure() plt.xlim(0, 20000) plt.ylim(0, 1) for directory in dirs: os.chdir(os.path.join(pwd, directory)); chd_dir = os.path.dirname(os.path.abspath(__file__)) files = [ fl for fl in os.listdir('.') if os.path.isfile(fl) ] print files for f in files: f_obj = open(os.path.join(chd_dir, f), 'r') list_x = [] list_y = [] for i in xrange(0,4): f_obj.next() for line in f_obj: temp_list = line.split() print temp_list list_y.append(temp_list[0]) list_x.append(temp_list[1]) print 'final_lsit' print list_x print list_y plt.plot(list_x, list_y, 'r.') f_obj.close() os.chdir(pwd) plt.savefig("test.jpg") The input files look like the following: 5 865 14709 15573 14709 1.32667e-06 664 0.815601 14719 1.55333e-06 674 0.813277 14729 1.82667e-06 684 0.810185 14739 1.4e-06 694 0.808459 Can anybody help me with why this is happening? Being new I would like to know some tutorial where I can get help with kind of plotting as the tutorial I was following made me end up here. Any help appreciated.

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• wxPython: MainLoop() seems to hang

  - by BandGap

  Hi all, my problem stems from the use of wxApp as far as I can tell. Inside a litte subroutine I call a wx.MessageDialog to ask for a yes or no. I retrieve the answer an process some stuff acordingly. My example code below actually works (though it might be ugly) except that the Dialog box stays open after hitting one of the buttons... import wx from os import path def HasFile(filename): if path.isfile(filename ): app = wx.App() dial = wx.MessageDialog(None, 'Die Datei "'+filename+'" wurde gefunden.\nSoll sie eingelesen werden?', 'Bitte antworten', wx.YES_NO | wx.YES_DEFAULT | wx.ICON_QUESTION) result = dial.ShowModal() dial.EndModal(retCode=0) dial.Destroy() app.MainLoop() return result == wx.ID_YES else: return False So while the rest of the program does whatever is expected, the box just sits there. It also seems like my calls to matplotlib later on are producing errors (a Tkinter error to be precise), maybe because of the wx stuff? Edit: I tried to end the app with a call to app.Destroy(). This doesn't change the fact that the box is still there. When I issue a app.IsActive() afterwards the whole program exits (almost like a sys.exit())! How come? Edit 2: Adding a wxApp like this isn't a good idea since the other scripts get affected as well. Subsequent plotting commands don't get displayed and I don't know how to fix this. Thus I decided to remove the DialogBox alltogether.

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• Best way to build an application based on R?

  - by Prasad Chalasani

  I'm looking for suggestions on how to go about building an application that uses R for analytics, table generation, and plotting. What I have in mind is an application that: displays various data tables in different tabs, somewhat like in Excel, and the columns should be sortable by clicking. takes user input parameters in some dialog windows. displays plots dynamically (i.e. user-input-dependent) either in a tab or in a new pop-up window/frame Note that I am not talking about a general-purpose fron-end/GUI for exploring data with R (like say Rattle), but a specific application. Some questions I'd like to see addressed are: Is an entirely R-based approach even possible ( on Windows ) ? The following passage from the Rattle article in R-Journal intrigues me: It is interesting to note that the first implementation of Rattle actually used Python for implementing the callbacks and R for the statistics, using rpy. The release of RGtk2 allowed the interface el- ements of Rattle to be written directly in R so that Rattle is a fully R-based application If it's better to use another language for the GUI part, which language is best suited for this? I'm looking for a language where it's relatively "painless" to build the GUI, and that also integrates very well with R. From this StackOverflow question How should I do rapid GUI development for R and Octave methods (possibly with Python)? I see that Python + PyQt4 + QtDesigner + RPy2 seems to be the best combo. Is that the consensus ? Anyone have pointers to specific (open source) applications of the type I describe, as examples that I can learn from?

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• Connecting grouped dots/points on a scatter plot based on distance

  - by ToNoY

  I have 2 sets of depth point measurements, for example: > a depth value 1 2 2 2 4 3 3 6 4 4 8 5 5 16 40 6 18 45 7 20 58 > b depth value 1 10 10 2 12 20 3 14 35 I want to show both groups in one figure plotted with depth and with different symbols as you can see here plot(a$value, a$depth, type='b', col='green', pch=15) points(b$value, b$depth, type='b', col='red', pch=14) The plot seems okay, but the annoying part is that the green symbols are all connected (though I want connected lines also). I want connection only when one group has a continued data points at 2 m interval i.e. the symbols should be connected with a line from 2 to 8 m (green) and then group B symbols should be connected from 10-14 m (red) and again group A symbols should be connected (green), which means I do NOT want to see the connection between 8 m sample with the 16 m for group A. An easy solution may be dividing the group A into two parts (say, A-shallow and A-deep) and then plotting A-shallow, B, and A-deep separately. But this is completely impractical because I have thousands of data points with hundreds of groups i.e. I have to produce many depth profiles. Therefore, there has to be a way to program so that dots are NOT connected beyond a prescribed frequency/depth interval (e.g. 2 m in this case) for a particular group of samples. Any idea?

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• Reading input files in FORTRAN

  - by lollygagger

  Purpose: Create a program that takes two separate files, opens and reads them, assigns their contents to arrays, do some math with those arrays, create a new array with product numbers, print to a new file. Simple enough right? My input files have comment characters at the beginning. One trouble is, they are '#' which are comment characters for most plotting programs, but not FORTRAN. What is a simple way to tell the computer not to look at these characters? Since I have no previous FORTRAN experience, I am plowing through this with two test files. Here is what I have so far: PROGRAM gain IMPLICIT NONE REAL, DIMENSION (1:4, 1:8) :: X, Y, Z OPEN(1, FILE='test.out', & STATUS='OLD', ACTION='READ') ! opens the first file READ(1,*), X OPEN(2, FILE='test2.out', & STATUS='OLD', ACTION='READ') ! opens the second file READ(2,*), Y PRINT*, X, Y Z = X*Y ! PRINT*, Z OPEN(3, FILE='test3.out', STATUS='NEW', ACTION='WRITE') !creates a new file WRITE(3,*), Z CLOSE(1) CLOSE(2) CLOSE(3) END PROGRAM PS. Please do not overwhelm me with a bunch of code monkey gobblety gook. I am a total programming novice. I do not understand all the lingo, that is why I came here instead of searching for help in existing websites. Thanks.

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• plot an item map (based on difficulties)

  - by Tyler Rinker

  I have a data set of item difficulties that correspond to items on a questionnaire that looks like this: item difficulty 1 ITEM_6: I DESTROY THINGS BELONGING TO OTHERS 2.31179818 2 ITEM_11: I PHYSICALLY ATTACK PEOPLE 1.95215238 3 ITEM_5: I DESTROY MY OWN THINGS 1.93479536 4 ITEM_10: I GET IN MANY FIGHTS 1.62610855 5 ITEM_19: I THREATEN TO HURT PEOPLE 1.62188759 6 ITEM_12: I SCREAM A LOT 1.45137544 7 ITEM_8: I DISOBEY AT SCHOOL 0.94255210 8 ITEM_3: I AM MEAN TO OTHERS 0.89941812 9 ITEM_20: I AM LOUDER THAN OTHER KIDS 0.72752197 10 ITEM_17: I TEASE OTHERS A LOT 0.61792597 11 ITEM_9: I AM JEALOUS OF OTHERS 0.61288399 12 ITEM_4: I TRY TO GET A LOT OF ATTENTION 0.39947791 13 ITEM_18: I HAVE A HOT TEMPER 0.32209970 14 ITEM_13: I SHOW OFF OR CLOWN 0.31707701 15 ITEM_7: I DISOBEY MY PARENTS 0.20902108 16 ITEM_2: I BRAG 0.19923607 17 ITEM_15: MY MOODS OR FEELINGS CHANGE SUDDENLY 0.06023317 18 ITEM_14: I AM STUBBORN -0.31155481 19 ITEM_16: I TALK TOO MUCH -0.67777282 20 ITEM_1: I ARGUE A LOT -1.15013758 I want to make an item map of these items that looks similar (not exactly) to this (I created this in word but it lacks true scaling as I just eyeballed the scale). It's not really a traditional statistical graphic and so I don't really know how to approach this. I don't care what graphics system this is done in but I am more familiar with ggplot2 and base. I would greatly appreciate a method of plotting this sort of unusual plot. Here's the data set (I'm including it as I was having difficulty using read.table on the dataframe above): DF <- structure(list(item = structure(c(17L, 3L, 16L, 2L, 11L, 4L, 19L, 14L, 13L, 9L, 20L, 15L, 10L, 5L, 18L, 12L, 7L, 6L, 8L, 1L ), .Label = c("ITEM_1: I ARGUE A LOT", "ITEM_10: I GET IN MANY FIGHTS", "ITEM_11: I PHYSICALLY ATTACK PEOPLE", "ITEM_12: I SCREAM A LOT", "ITEM_13: I SHOW OFF OR CLOWN", "ITEM_14: I AM STUBBORN", "ITEM_15: MY MOODS OR FEELINGS CHANGE SUDDENLY", "ITEM_16: I TALK TOO MUCH", "ITEM_17: I TEASE OTHERS A LOT", "ITEM_18: I HAVE A HOT TEMPER", "ITEM_19: I THREATEN TO HURT PEOPLE", "ITEM_2: I BRAG", "ITEM_20: I AM LOUDER THAN OTHER KIDS", "ITEM_3: I AM MEAN TO OTHERS", "ITEM_4: I TRY TO GET A LOT OF ATTENTION", "ITEM_5: I DESTROY MY OWN THINGS", "ITEM_6: I DESTROY THINGS BELONGING TO OTHERS", "ITEM_7: I DISOBEY MY PARENTS", "ITEM_8: I DISOBEY AT SCHOOL", "ITEM_9: I AM JEALOUS OF OTHERS" ), class = "factor"), difficulty = c(2.31179818110545, 1.95215237740899, 1.93479536058926, 1.62610855327073, 1.62188759115818, 1.45137543733965, 0.942552101641177, 0.899418119889782, 0.7275219669431, 0.617925967008653, 0.612883990709181, 0.399477905189577, 0.322099696946661, 0.31707700560997, 0.209021078266059, 0.199236065264793, 0.0602331732900628, -0.311554806052955, -0.677772822413495, -1.15013757942119)), .Names = c("item", "difficulty" ), row.names = c(NA, -20L), class = "data.frame") Thank you in advance.

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• ggplot: showing % instead of counts in charts of categorical variables

  - by wishihadabettername

  I'm plotting a categorical variable and instead of showing the counts for each category value, I'm looking for a way to get ggplot to display the percentage of values in that category. Of course, it is possible to create another variable with the calculated percentage and plot that one, but I have to do it several dozens of times and I hope to achieve that in one command. I was experimenting with something like qplot (mydataf) + stat_bin(aes(n=nrow(mydataf), y=..count../n)) + scale_y_continuous(formatter="percent") but I must be using it incorrectly, as I got errors. To easily reproduce the setup, here's a simplified example: mydata <- c ("aa", "bb", null, "bb", "cc", "aa", "aa", "aa", "ee", null, "cc"); mydataf <- factor(mydata); qplot (mydataf); #this shows the count, I'm looking to see % displayed. In the real case I'll probably use ggplot instead of qplot, but the right way to use stat_bin still eludes me. Thank you. UPDATE: I've also tried these four approaches: ggplot(mydataf, aes(y = (..count..)/sum(..count..))) + scale_y_continuous(formatter = 'percent'); ggplot(mydataf, aes(y = (..count..)/sum(..count..))) + scale_y_continuous(formatter = 'percent') + geom_bar(); ggplot(mydataf, aes(x = levels(mydataf), y = (..count..)/sum(..count..))) + scale_y_continuous(formatter = 'percent'); ggplot(mydataf, aes(x = levels(mydataf), y = (..count..)/sum(..count..))) + scale_y_continuous(formatter = 'percent') + geom_bar(); but all 4 give: Error: ggplot2 doesn't know how to deal with data of class factor The same error appears for the simple case of ggplot (data=mydataf, aes(levels(mydataf))) + geom_bar() so it's clearly something about how ggplot interacts with a single vector. I'm scratching my head, googling for that error gives a single result.

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• Looking for app to work fluidly with CSV data in graph form

  - by Aszurom

  It often occurs to me that if I had a good tool for viewing CSV data in graphical format, and comparing two sets of numbers to each other, I could do a great deal of meaningful trend watching and data interpretation. For example, perfmon can output quite a lot of data about a server into a CSV file, but there's no good way to view it. A lot of scripts could/have been written that would populate CSV files. I could write these all day long. My problem is that I need a great viewer. I've seen quite a few things that will take a CSV file and after a lot of tweaking and user adjustment produce a static gif/png image. A static image doesn't do me a lot of good, because I have to look at it, then re-calibrate the parameters of the program, regenerate the image, repeat. That sucks. I could do this in Excel. Ideally, I would want a FLUID graph viewer. On the fly, I can adjust how much of my timeline I'm viewing. I could adjust the scaling so that one big spike doesn't make 99.9% of the data an unreadable line across the bottom of the X axis. Stuff like that. I should be able to say "show me CSV column 3 and column 5 as graphs. Show me the data scaled for 20 or 150 entries, and let me slide that window up and down the column of data. Auto scale to fit 95% of data within the Y axis and let crazy spikes go off the screen." Maybe I'm terribly spoiled by how you can drag, zoom, and slide data around on my iPad. I want to be able to view a spreadsheet of data with that fluidity and not have to guess at what sort of static snapshot I want to create from it. I don't want to have to make a study of how to tweak some data plotting program to let me import my file and do what I could just do in Excel. I want to scale, zoom, and transform my graph on the fly and then export a snapshot of it once I have it the way I want it. Is there anything out there that fills this need? I'll take linux, osx, win32 or even iOS suggestions.

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• Aggregate SharePoint Event/Items into your Calendar view using Calendar Overlay

  - by eJugnoo

  One of the most common features I have seen in common use for SharePoint (prior to 2010) in Intranet environments for Team site is Calendar’s. Not only the Calendar list type, but also the ability to add a Calendar view to any list that has the desired columns to construct a Calendar – such as Start, End, Title etc. While this was all great for a single site/calendar, the problem of having to track numerous calendar’s remained. With introduction of Outlook 2007 bi-directional integration with SharePoint, and particularly the ability of Outlook to overlay calendar helped bridge the gap. Now one could connect to number of team sites, and setup Calendar overlays in Outlook using varying colours, to easily identify event source and yet benefit from the plotting of events on single Calendar view. This was all good, but each user in your Enterprise was supposed to setup in a “pull” fashion. This is good for flexibility, not so good when you need to “push” consistency and productivity (re-use). So, what was missing on SharePoint is the ability to have server-side overlay’s that everyone can see – in a single place, aggregating multiple sources. Until SharePoint 2010 arrived! Calendars Overlay in SharePoint 2010 There are Calendar lists and Calendar views. View can be created for almost all lists, as far as you have desired column’s in a list like Start, End, Title etc. to be able to describe and plot an item in a Calendar format. In SharePoint 2010, create a new Calendar list. Go to Calendar ribbon tab, and click Calendar Overlay. You get the screen with list of existing Overlay’s associated with current Calendar (list – in our case). Click on “New Calendar”… Notice the breadcrumb! You are adding Overlay to existing list (Team Calendar – in our case). You have choice of “pulling” Calendar info from an existing Calendar (list/view) in SharePoint or even from Exchange! Set standard info like a name, description and decide the colour you want for the items in aggregated Calendar overlay. Select the source site/list/view, anywhere in farm. When you select Exchange as source of Calendar, you get option to add OWA and Exchange Web Service url. I will cover details of connecting with Exchange in another post, and focus on Overlay’s with SharePoint for this one. Once you have added a new Calendar overlay to existing Calendar veiw, you get something like below for Day view, Week view, and Month view respectively Notice the Overlay colours: Now, if you decide to connect this Calendar to Outlook to sync the items, it will only sync items from main view, and not from Overlay source. So such Overlay of calendar’s is server-side aggregation only. That increases my curiosity, so I try adding the Calendar list view as a web-part on a new page. As you see, this instance of view didn’t include item from source that we had added to default Calendar view. This is – probably – due to the fact that this is a new web-part view for the page. If you want to add overlay to this one, you have to redo that from Ribbon. This also means, subject to purpose and context you get the flexibility to decide what overlay is suited. Also you can only add 10 Overlay’s to an existing view instance. Conclusion Calendar Overlay is clearly a very useful feature that fills a gap of not being able to aggregate information from multiple sources into a Calendar view within context of current items. Source of items can be existing SharePoint calendar views on any site, or even Exchange (via OWA/Exchange web services). List type for source doesn’t matter, it just need a Calendar view type available. You can have 10 overlays. Overlays are for the specific view only, and are server-side only – which means they do not get synced in Outlook. While you can drag-drop current list items, you cannot edit overlay items as they are read-only within scope of current Calendar view. You can of course click on source Overlay item to edit at the source. I’d like to hear, how you think Overlay’s will help you in your case, or how you are already using them... Enjoy SharePoint! --Sharad

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• BIP and Mapviewer Mash Up I

  - by Tim Dexter

  I was out in Yellowstone last week soaking up various wildlife and a bit too much rain ... good to be back until the 95F heat yesterday. Taking a little break from the Excel templates; the dev folks are planing an Excel patch in the next week or so that will add a mass of new functionality. At the risk of completely mis leading you I'm going to hang back a while. What I have written so far holds true and will continue to do so. This week, I have been mostly eating 'mapviewer' ... answers on a post card please, TV show and character. I had a request to show how BIP can call mapviewer and render a dynamic map in an output. So I hit the books and colleagues for some answers. Mapviewer is Oracle's geographic information system, hereby known as GIS. I use it a lot in our BIEE demos where the interaction with the maps is very impressive. Need a map of California and its congressional districts? I have contacts; Jerry and David with their little black box of maps. Once in my possession I can build highly interactive, clickable maps that allow the user to drill into more information using a very friendly interface driving BIEE content and navigation. But what about maps in BIP output? Bryan Wise, who has written some articles on this blog did some work a while back with the PL/SQL API interface. The extract for the report called a function that in turn called the mapviewer server, passing a set of mapping requirements, it then returned a URL to a cached copy of that map. Easy to then have BIP render that image. Thats still very doable. You need to install a couple of packages and then load the mapviewer java APIs into the database. Then you can write your function to the APIs. A little involved? Maybe, but the database is doing all the heavy lifting for you. I thought I would investigate another method for getting the maps back into BIP. There is a URL interface you can call, this involves building an XML message to be passed to the mapviewer server. It's pretty straightforward to use on the mapviewer side. On the BIP side things are little more tricksy. After some unexpected messing about I finally got the ubiquitous Hello World map to render using the URL method. Not the most exciting map in the world, lots of ocean and a rather long URL to get it to render. http://127.0.0.1:9704/mapviewer/omserver?xml_request=%3Cmap_request%20title=%22Hello%20World%22%20datasource=%22cagis%22%20format=%22GIF_STREAM%22/%3E Notice all of the encoding in the URL string to handle the spaces, quotes, etc. All necessary to get BIP to make the call to the mapviewer server correctly without truncating the URL if it hits a real space rather than a %20. With that in mind constructing the URL was pretty simple. I'm not going to get into the content of the URL too much, for that you need to bone up on the mapviewer XML API. Check out the home page here and the documentation here. To make the template portable I used the standard CURRENT_SERVER_URL parameter from the BIP server and declared that in my template. <?param@begin:CURRENT_SERVER_URL;'myserver'?> Ignore the 'myserver', that was just a dummy value for testing at runtime it will resolve to: 'http://yourserver:port/xmlpserver' Not quite what we need as mapviewer has its own server path, in my case I needed 'mapviewer/omserver?xml_request=' as the fixed path to the mapviewer request URL. A little concatenation and substringing later I came up with <?param@begin:mURL;concat(substring($CURRENT_SERVER_URL,1,22),'mapviewer/omserver?xml_request=')?> Thats the basic URL that I can then build on. To get the Hello World map I need to add the following: <map_request title="Hello World" datasource="cagis" format="GIF_STREAM"/> Those angle brackets were the source of my headache, BIPs XSLT engine was attempting to process them rather than just pass them. Hok Min to the rescue ... again. I owe him lunch when I get out to HQ again! To solve the problem, I needed to escape all the characters and white space and then use native XSL to assign the string to a parameter. <xsl:param xdofo:ctx="begin"name="pXML">%3Cmap_request%20title=%22Hello%20World%22 %20datasource=%22cagis%22%20format=%22GIF_STREAM%22/%3E</xsl:param> I did not need to assign it to a parameter but I felt that if I were going to do anything more serious than Hello World like plotting points of interest on the map. I would need to dynamically build the URL, so using a set of parameters or variables that I then concatenated would be easier. Now I had the initial server string and the request all I then did was combine the two using a concat: concat($mURL,$pXML) Embedding that into an image tag: <fo:external-graphic src="url({concat($mURL,$pXML)})"/> and I was done. Notice the curly braces to get the concat evaluated prior to the image call. As you will see next time, building the XML message to go onto the URL can get quite complex but I have used it with some data. Ultimately, it would be easier to build an extension to BIP to handle the data to be plotted, it would then build the XML message, call mapviewer and return a URL to the map image for BIP to render. More on that next time ...

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• UK OUG Conference Highlights and Insights

  - by Richard Bingham

  As per my preemptive post, this was the first time the annual conference organized by the UK Oracle User Group (UKOUG) was split into two events, one for Oracle Applications and another in December for Oracle Technology. Apps13, as it was branded, was hailed as a success, with over 1000 registered attendees and three days of sessions, exhibition, round-tables and many other types of content. As this poster on their stand illustrates, the UKOUG is a strong community with popular participants from both big and small Oracle partners and customers. The venue was a more intimate setting than previous years also, allowing everyone to casually bump into those they hoped to. It gave a real feeling of an Apps Community. The main themes over the days where CRM and Customer Experience, HCM, and FIN/SCM. This allowed people to attend just one focused day if they wanted. In addition the Apps Transformation stream ran across all three days, offering insights, advice, and details on the newer product solutions like Fusion Applications.  Here are some of the key take-aways I got from the conference, specific to my role in Fusion Applications Developer Relations: User Experience continues to be a significant reason for adopting some of the newer application products available, with immediately obvious gains in user productivity and satisfaction reported by customers. Also this doesn't stop with the baked-in UX either, with their Design Patterns proving popular and indeed currently being extended to including things like extending on ADF mobile and customizing the Simplified UI. More on this to come from us soon. The executive sessions emphasized the "it's a journey" phrase, illustrating that modern business applications are powered by technologies such as Cloud, Mobile, Social and Big Data and these can be harnessed to help propel your organization forward. Indeed the emphasis is away from the traditional vendor prescribed linear applications road map, and towards plotting a course based on business priorities supported by a broad range of integrated solutions. To help with this several conference sessions demoed the new "Applications Navigator" tool, developed in partnership with OUG members, which offers a visual framework to help organizations plan their Oracle Applications investments around business and technology imperatives. Initial reaction was positive, especially as customers do not need to decipher Oracle's huge product catalog and embeds the best blend of proven and integrated applications solutions. We'll share more on this when it is generally available. Several sessions focused around explanations and interpretation of Oracle OpenWorld 2013, helping highlight the key Oracle Applications messages and directions. With a relative small percentage of conference attendees also at OpenWorld (from a show of hands) this was a popular way to distill the information available down into specific items of interest for the community. Please note the original OpenWorld 2013 content is still available for download but will not remain available forever (via the Oracle website OpenWorld Content Catalog > pick a session > see the PDF download). With the release of E-Business Suite 12.2 the move to develop and deploy on the Fusion Middleware stack becomes a reality for many Oracle Applications customers. This coupled with recent E-Business Suite features such as the Integrated SOA Gateway and the E-Business Suite SDK for Java, illustrates how the gap between the technologies and techniques involved in extending E-Business Suite and Fusion Applications is quickly narrowing. We'll see this merging continue to evolve going forwards. Getting started with Oracle Cloud Applications is actually easier than many customers expected, with a broad selection of both large and medium sized organizations explaining how they added new features to their existing Oracle Applications portfolios. New functionality available from Fusion HCM and CX are popular extensions that do not have to disrupt those core business services. Coexistence is the buzzword here, and the available integration is also simpler than many expected, commonly involving an initial setup data load, then regularly incremental synchronizations, often without a need for real-time constant communication between systems. With much of this pre-built already the implementation process is also quite rapid. With most people dressed in suits, we wanted to get the conversations going without the traditional english reserve, so we decided to make ourselves a bit more obvious, as the photo below shows. This seemed to be quite successful and helped those interested identify and approach us. Keep a look out for similar again. In fact if you're in the UK there is an "Apps Transformation Day" planned by the UKOUG for the 19th March 2014, with more details to follow. Again something we'll be sure to participate in. I am hoping to attend the next half of the UKOUG annual conference, Tech13, that focuses more on Oracle technology and where there is more likely to be larger attendance of those interested in the lower-level aspects of applications customization and development. If you're going, let me know and maybe we can meet up.

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• Finding edge and corner values of an image in matlab

  - by James

  Hi, this problem links to two other questions i've asked on here. I am tracing the outline of an image and plotting this to a dxf file. I would like to use the bwboundaries function to find the coordinates of the edges of the image, find the corner coordinates using the cornermetric function and then remove any edge coordinates that are not a corner. The important thing I need to be able to do is keep the order of the corner elements obtained from bwboundaries, so that the section traces properly. The dxf function I have that draws from the coordinates draws lines between coordinates that are next to each other, so the line has to be drawn "around" the section rather than straight between the corner points. The reason I am doing this is because there are less coordinates obtained this way, so it is easier to amend the dxf file (as there are less points to manipulate). The code I have so far is: %# Shape to be traced bw = zeros(200); bw(20:40,20:180) = 1; bw(20:180,90:110) = 1; bw(140:180,20:185) = 1; %# Boundary Finding Section [Boundary] = bwboundaries(bw); %Traces the boundary of each section figure, imshow(bw); hold on; colors=['b' 'g' 'r' 'c' 'm' 'y']; for k=1:length(Boundary) perim = Boundary{k}; %Obtains perimeter coordinates (as a 2D matrix) from the cell array cidx = mod(k,length(colors))+1;% Obtains colours for the plot plot(perim(:,2), perim(:,1),... colors(cidx),'LineWidth',2); end Coordmat = cell2mat(Boundary) %Converts the traced regions to a matrix X = Coordmat(:,1) Y = Coordmat(:,2) % This gives the edge coordinates in matrix form %% Corner Finding Section (from Jonas' answer to a previous question %# get corners cornerProbability = cornermetric(bw); cornerIdx = find(cornerProbability==max(cornerProbability(:))); %# Label the image. bwlabel puts 1 for the first feature, 2 for the second, etc. %# Since concave corners are placed just outside the feature, grow the features %# a little before labeling bw2 = imdilate(bw,ones(3)); labeledImage = bwlabel(bw2); %# read the feature number associated with the corner cornerLabels = labeledImage(cornerIdx); %# find all corners that are associated with feature 1 corners_1 = cornerIdx(cornerLabels==1) [Xcorners, Ycorners] = ind2sub(200,corners_1) % Convert subscripts The code I have is, to give a matrix Xfin for the final x coordinates (which are on the edge AND at a corner. Xfin = zeros(length(X),1) for i = Xcorners XFin(i) = Xcorners if i~= Xcorners XFin(i) = [] end end However, this does not work correctly, because the values in the solution are sorted into order, and only one of each value remains. As I said, I would like the corner elements to be in the same order as obtained from bwboundaries, to allow the image to trace properly. Thanks

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