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  • Is there a C# library that will perform the Excel NORMINV function?

    - by Portman
    I'm running some Monte Carlo simulations and making extensive use of the Excel function NORM.INV using Office Interrop. This functions takes three arguments (probability, average, standard deviation) and returns the inverse of the cumulative distribution. I'd like to move my code into a web app, but that will require installing Excel on the server. Does anybody know of a C# statistics library that has an equivalent function to NORM.INV?

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  • Project summary - Source code lines

    - by MartyIX
    I'm looking for a tool that would count the number of files, the number of lines (with or without comments) and possibly other statistics for my project in PHP and JavaScript. Notes: I've already found SLOCCount which seems quite nice. It requires Cygwin. Yes, I can wrote a simple script for basic information but I'm looking for something more complex. Do you know about alternatives for Windows? Thanks!

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  • Finding trends in multi-category data in Excel

    - by Miral
    I have an Excel spreadsheet that contains hundreds of rows of data that each represent a single sample in a larger population. Each row is divided into three columns that contain frequency counts of a specific type of thing. Together the three columns summed on a single row represent 100%, though each row will sum to a different value. What I'm most interested in are the proportions of each of these types (ie. percentages of each column relative to the sum of the three columns). I can easily calculate this on a per-row basis, but what I'm really interested in is trying to find an overall trend from the entire population. I don't really spend much time doing data analysis so the only thing I can think of trying is to create those percentage columns and then average them, but I'm sure there must be a better way to visualise this.

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  • What type of VPS stats should I look for?

    - by Dave
    I have a few websites that average a total of 10,000 uniques a day across my network. I also have a few mobile apps that pull xml data maybe 5,000 calls a day. My sites aren't anything major just a few wallpaper websites and few other small sites, nothing real database intensive. I currently own a dedicated server and I feel like it's overkill for my network. I'm looking into getting a Virtual Private Server (VPS). I was just wondering what kind of stats I should be looking for to support my network of sites. Thanks

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  • How harmful is a hard disk spin cycle?

    - by Gilles
    It is conventional wisdom¹ that each time you spin a hard disk down and back up, you shave some time off its life expectancy. The topic has been discussed before: Is turning off hard disks harmful? What's the effect of standby (spindown) mode on modern hard drives? Common explanations for why spindowns and spinups are harmful are that they induce more stress on the mechanical parts than ordinary running, and that they cause heat variations that are harmful to the device mechanics. Is there any data showing quantitatively how bad a spin cycle is? That is, how much life expectancy does a spin cycle cost? Or, more practically, if I know that I'm not going to need a disk for X seconds, how large should X be to warrant spinning down? ¹ But conventional wisdom has been wrong before; for example, it is commonly held that hard disks should be kept as cool as possible, but the one published study on the topic shows that cooler drives actually fail more. This study is no help here since all the disks surveyed were powered on 24/7.

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  • How harmful is a hard disk spin cycle?

    - by Gilles
    It is conventional wisdom¹ that each time you spin a hard disk down and back up, you shave some time off its life expectancy. The topic has been discussed before: Is turning off hard disks harmful? What's the effect of standby (spindown) mode on modern hard drives? Common explanations for why spindowns and spinups are harmful are that they induce more stress on the mechanical parts than ordinary running, and that they cause heat variations that are harmful to the device mechanics. Is there any data showing quantitatively how bad a spin cycle is? That is, how much life expectancy does a spin cycle cost? Or, more practically, if I know that I'm not going to need a disk for X seconds, how large should X be to warrant spinning down? ¹ But conventional wisdom has been wrong before; for example, it is commonly held that hard disks should be kept as cool as possible, but the one published study on the topic shows that cooler drives actually fail more. This study is no help here since all the disks surveyed were powered on 24/7.

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  • thought on real time web analytics

    - by Linus
    we have a few web servers and am planning to create a dashboard to show the real time stats ip address,geo-location and other custom data based on database lookups. Splunk sort of fits perfectly but wondering if there are any open source alternative . i have looked at logstash and graylog2, but to my knowledge they are more of a log analysis tools. Piwik is sort of interesting except that i cannot put any javascript on the webpages. All i have access to is apache web log. Any recommendations please..

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  • What is a fairly accepted endpoints to concurrent calls ratio for a PBX?

    - by Logan Bibby
    Hey guys! Not too positive about the relevance of this question to Server Fault, but I'll let you guys poke around at it anyway. :) I'm trying to figure out what an accepted ratio of endpoints to concurrent calls on the "average" office PBX. I'm defining concurrent calls as any call being placed, including internal calls. I'm not going to be considering call centers into this ratio, I'll be looking at those differently, anyway. To give you guys a little history behind the question: I need this ratio to be able to figure out decent specs for a virtual PBX service I'm going to be rolling out within the upcoming months. The ratio will determine the number of trunks needed per PBX system. -- Logan

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  • High memory usage on the server - can't determine the process

    - by HTF
    I've noticed high memory usage on the server. Details: OS: CentOS 6.3 - x86_64 Web server: Nginx with PHP-FPM The server is generating PDF documents so the traffic is minimum. top: # top -b -n 1 -a top - 10:04:51 up 21 days, 18:57, 1 user, load average: 0.00, 0.00, 0.00 Tasks: 92 total, 1 running, 91 sleeping, 0 stopped, 0 zombie Cpu(s): 0.3%us, 0.2%sy, 0.0%ni, 99.6%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 3923092k total, 3720380k used, 202712k free, 133904k buffers Swap: 4194296k total, 12k used, 4194284k free, 147404k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 15855 www-data 20 0 199m 4952 2128 S 0.0 0.1 0:00.06 php-fpm 15853 www-data 20 0 199m 4940 2028 S 0.0 0.1 0:00.06 php-fpm 15850 www-data 20 0 199m 4928 2020 S 0.0 0.1 0:00.05 php-fpm 15851 www-data 20 0 199m 4888 2020 S 0.0 0.1 0:00.06 php-fpm 15852 www-data 20 0 199m 4852 2020 S 0.0 0.1 0:00.06 php-fpm 15857 www-data 20 0 198m 4716 2020 S 0.0 0.1 0:00.06 php-fpm 17553 root 20 0 97816 3860 2924 S 0.0 0.1 0:00.03 sshd 15849 root 20 0 198m 3460 1072 S 0.0 0.1 0:00.12 php-fpm 13441 nginx 20 0 65608 2968 1604 S 0.0 0.1 0:02.06 nginx 13440 nginx 20 0 65608 2964 1600 S 0.0 0.1 0:01.87 nginx 17561 root 20 0 105m 1944 1488 S 0.0 0.0 0:00.01 bash 1150 xfs 20 0 20980 1784 704 S 0.0 0.0 0:00.13 xfs 15863 root 20 0 179m 1424 1028 S 0.0 0.0 0:00.00 rsyslogd 1 root 20 0 19224 1360 1088 S 0.0 0.0 0:17.96 init 1201 nrpe 20 0 40928 1288 704 S 0.0 0.0 3:57.64 nrpe 13226 root 20 0 114m 1216 612 S 0.0 0.0 0:00.01 crond 6691 root 20 0 64068 1156 488 S 0.0 0.0 0:09.59 sshd 13439 root 20 0 65104 1128 292 S 0.0 0.0 0:00.00 nginx 19026 root 20 0 15040 1116 844 R 0.0 0.0 0:00.00 top 451 root 16 -4 11052 1096 316 S 0.0 0.0 0:00.02 udevd 1174 root 18 -2 11048 1064 288 S 0.0 0.0 0:00.00 udevd 1175 root 18 -2 11048 1064 288 S 0.0 0.0 0:00.00 udevd 1065 root 16 -4 93168 824 560 S 0.0 0.0 0:16.00 auditd 1165 root 20 0 4056 564 480 S 0.0 0.0 0:00.00 mingetty 1167 root 20 0 4056 564 480 S 0.0 0.0 0:00.00 mingetty 1169 root 20 0 4056 564 480 S 0.0 0.0 0:00.00 mingetty 1171 root 20 0 4056 564 480 S 0.0 0.0 0:00.00 mingetty 1163 root 20 0 4056 560 480 S 0.0 0.0 0:00.00 mingetty 1176 root 20 0 4056 560 480 S 0.0 0.0 0:00.00 mingetty 2 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthreadd 3 root RT 0 0 0 0 S 0.0 0.0 0:11.75 migration/0 4 root 20 0 0 0 0 S 0.0 0.0 44:30.28 ksoftirqd/0 5 root RT 0 0 0 0 S 0.0 0.0 0:00.00 migration/0 6 root RT 0 0 0 0 S 0.0 0.0 0:03.51 watchdog/0 7 root RT 0 0 0 0 S 0.0 0.0 0:11.63 migration/1 8 root RT 0 0 0 0 S 0.0 0.0 0:00.00 migration/1 9 root 20 0 0 0 0 S 0.0 0.0 11:35.50 ksoftirqd/1 10 root RT 0 0 0 0 S 0.0 0.0 0:03.34 watchdog/1 11 root 20 0 0 0 0 S 0.0 0.0 1:36.68 events/0 12 root 20 0 0 0 0 S 0.0 0.0 1:50.57 events/1 13 root 20 0 0 0 0 S 0.0 0.0 0:00.00 cgroup 14 root 20 0 0 0 0 S 0.0 0.0 0:00.00 khelper 15 root 20 0 0 0 0 S 0.0 0.0 0:00.00 netns 16 root 20 0 0 0 0 S 0.0 0.0 0:00.00 async/mgr 17 root 20 0 0 0 0 S 0.0 0.0 0:00.00 pm 18 root 20 0 0 0 0 S 0.0 0.0 0:07.86 sync_supers 19 root 20 0 0 0 0 S 0.0 0.0 0:10.38 bdi-default 20 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kintegrityd/0 21 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kintegrityd/1 22 root 20 0 0 0 0 S 0.0 0.0 0:04.35 kblockd/0 23 root 20 0 0 0 0 S 0.0 0.0 0:04.18 kblockd/1 24 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kacpid 25 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kacpi_notify 26 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kacpi_hotplug 27 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ata/0 28 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ata/1 29 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ata_aux 30 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ksuspend_usbd 31 root 20 0 0 0 0 S 0.0 0.0 0:00.00 khubd 32 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kseriod 33 root 20 0 0 0 0 S 0.0 0.0 0:00.00 md/0 34 root 20 0 0 0 0 S 0.0 0.0 0:00.00 md/1 35 root 20 0 0 0 0 S 0.0 0.0 0:00.00 md_misc/0 36 root 20 0 0 0 0 S 0.0 0.0 0:00.00 md_misc/1 37 root 20 0 0 0 0 S 0.0 0.0 0:00.48 khungtaskd 38 root 20 0 0 0 0 S 0.0 0.0 1:07.52 kswapd0 39 root 25 5 0 0 0 S 0.0 0.0 0:00.00 ksmd 40 root 39 19 0 0 0 S 0.0 0.0 0:22.00 khugepaged 41 root 20 0 0 0 0 S 0.0 0.0 0:00.00 aio/0 42 root 20 0 0 0 0 S 0.0 0.0 0:00.00 aio/1 43 root 20 0 0 0 0 S 0.0 0.0 0:00.00 crypto/0 44 root 20 0 0 0 0 S 0.0 0.0 0:00.00 crypto/1 49 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthrotld/0 50 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthrotld/1 52 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kpsmoused 53 root 20 0 0 0 0 S 0.0 0.0 0:00.00 usbhid_resumer 83 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kstriped 233 root 20 0 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_0 234 root 20 0 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_1 321 root 20 0 0 0 0 S 0.0 0.0 0:00.00 virtio-blk 359 root 20 0 0 0 0 S 0.0 0.0 0:03.24 kdmflush 360 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kdmflush 380 root 20 0 0 0 0 S 0.0 0.0 0:20.64 jbd2/dm-0-8 381 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ext4-dio-unwrit 382 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ext4-dio-unwrit 694 root 20 0 0 0 0 S 0.0 0.0 0:00.00 vballoon 697 root 20 0 0 0 0 S 0.0 0.0 0:00.00 virtio-net 818 root 20 0 0 0 0 S 0.0 0.0 0:00.00 jbd2/vda1-8 819 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ext4-dio-unwrit 820 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ext4-dio-unwrit 851 root 20 0 0 0 0 S 0.0 0.0 0:06.96 kauditd 1013 root 20 0 0 0 0 S 0.0 0.0 0:15.45 flush-253:0 ps: # ps aux --sort -vsz | head USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND www-data 13213 0.0 0.1 204416 4772 ? S 08:28 0:00 php-fpm: pool default www-data 13214 0.0 0.1 204416 4776 ? S 08:28 0:00 php-fpm: pool default www-data 13215 0.0 0.1 204416 4832 ? S 08:28 0:00 php-fpm: pool default www-data 13216 0.0 0.1 204416 4776 ? S 08:28 0:00 php-fpm: pool default www-data 13218 0.0 0.1 204416 4956 ? S 08:28 0:00 php-fpm: pool default free: #free -m total used free shared buffers cached Mem: 3831 3530 300 0 130 143 -/+ buffers/cache: 3256 574 Swap: 4095 0 4095 When I stooped Nginx, PHP-FPM the memory usage was still the same. Could you help me to investigate what is consuming the memory on the system? Regards

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  • What is the most relevant statistic information from Google Analytics for website optimalisation? [c

    - by Paulo
    I was wondering, what is considered the best statistic information from Google Analytics for website optimalisation? Example 1: Alot of visitors leave the website on a specific page, this could be because there aren't enough forwards / links on that page so that the visitors don't see a reason to continue their travel on the website. Example 2: Your traffic sources are 70% direct visits, 28% redirects from other websites and 2% by search engine. You could say that your website is not easily findable in search engines which could be interpreted as a sign that your keywords and/or meta description aren't good enough to be found. I'd like to hear some from other people!

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  • Highly robust and scalable search server needed for managing and analyze files

    - by ChrisBenyamin
    Hi everybody, I am looking for a professional search server system with functionality, like e.g. solr http://lucene.apache.org/solr/ holds. Place of action should be a centralized location, whereon many hosts would request data. Furthermore the system should be extensible for implementing statistical procedures. (e.g. a kind of heatmap (or common diagrams) of a (or more) file(s) (which has a guid), that is spread on different hosts.) This software doesn't have to be opensource. thanks. chris

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  • Search engine to correlate events [closed]

    - by Lee B
    Are there any web search tools that help with statistical research, like correlation? For instance, if I wanted to see the union of bloggers who drink (or talk about) tea/coffee with the bloggers who experience (or talk about) various diseases?

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  • Information on 50% drop in spam starting Christmas 2010

    - by George Bailey
    Has anybody who administers email servers or spam filtering noticed that in last couple of weeks the spam volume has dropped significantly? Is there a chart provided by one of the major spam filtering companies? Edit: Based on our internal stats, although it varies, on the two weeks starting the day after Christmas (Sunday), spam seems to be coming in about half as much as it did before Christmas.

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  • How often do netbook parts break?

    - by kurresmack
    I need to know a list of how many percentage of all components break within a year. For example I would need to know how many percent of all netbook RAM is calculated to break within a year? This is a lot to ask, I know. But I really do need to know some facts on what to except to break when you have a lot of netbooks. Would be glad if someone had hard facts that could be backed up with resources. Only netbooks are considered.

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  • Lightweight alternative to R for RHEL?

    - by Eric Rath
    I want to use R for some statistical analysis of logfile information, but found that even the "limited" R-core RPM has a lot of dependencies not already installed. I don't want to install so many packages for a peripheral need. Are there lightweight alternatives for simple statistical analysis on RHEL 6? I have an R script that accepts on stdin a large set of values -- one value per line -- and prints out the min, max, mean, median, 95th percentile, and standard deviation. For more context, I'm using grep and awk to find GET requests for a particular path in our webserver log files, get the response times, and calculate the metrics listed above in order to measure the impact on performance of changes to a web application. I don't need any graphing capabilities, just simple computation. Is there something I've overlooked?

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  • iPhone - dequeueReusableCellWithIdentifier usage

    - by Jukurrpa
    Hi, I'm working on a iPhone app which has a pretty large UITableView with data taken from the web, so I'm trying to optimize its creation and usage. I found out that dequeueReusableCellWithIdentifier is pretty useful, but after seeing many source codes using this, I'm wondering if the usage I make of this function is the good one. Here is what people usually do: UITableViewCell* cell = [tableView dequeueReusableCellWithIdentifier:@"Cell"]; if (cell == nil) { cell = [[UITableViewCell alloc] initWithFrame:CGRectZero reuseIdentifier:@"Cell"]; // Add elements to the cell return cell; And here is the way I did it: NSString identifier = [NSString stringWithFormat:@"Cell @d", indexPath.row]: // The cell row UITableViewCell* cell = [tableView dequeueReusableCellWithIdentifier:identifier]; if (cell != nil) return cell; cell = [[UITableViewCell alloc] initWithFrame:CGRectZero reuseIdentifier:identifier]; // Add elements to the cell return cell; The difference is that people use the same identifier for every cell, so dequeuing one only avoids to alloc a new one. For me, the point of queuing was to give each cell a unique identifier, so when the app asks for a cell it already displayed, neither allocation nor element adding have to be done. In fine I don't know which is best, the "common" method ceils the table's memory usage to the exact number of cells it display, whislt the method I use seems to favor speed as it keeps all calculated cells, but can cause large memory consumption (unless there's an inner limit to the queue). Am I wrong to use it this way? Or is it just up to the developper, depending on his needs?

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  • Memory usage in Flash / Flex / AS3

    - by ggambett
    I'm having some trouble with memory management in a flash app. Memory usage grows quite a bit, and I've tracked it down to the way I load assets. I embed several raster images in a class Embedded, like this [Embed(source="/home/gabriel/text_hard.jpg")] public static var ASSET_text_hard_DOT_jpg : Class; I then instance the assets this way var pClass : Class = Embedded[sResource] as Class; return new pClass() as Bitmap; At this point, memory usage goes up, which is perfectly normal. However, nulling all the references to the object doesn't free the memory. Based on this behavior, looks like the flash player is creating an instance of the class the first time I request it, but never ever releases it - not without references, calling System.gc(), doing the double LocalConnection trick, or calling dispose() on the BitmapData objects. Of course, this is very undesirable - memory usage would grow until everything in the SWFs is instanced, regardless of whether I stopped using some asset long ago. Is my analysis correct? Can anything be done to fix this?

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  • Prototypal inheritance should save memory, right?

    - by Techpriester
    Hi Folks, I've been wondering: Using prototypes in JavaScript should be more memory efficient than attaching every member of an object directly to it for the following reasons: The prototype is just one single object. The instances hold only references to their prototype. Versus: Every instance holds a copy of all the members and methods that are defined by the constructor. I started a little experiment with this: var TestObjectFat = function() { this.number = 42; this.text = randomString(1000); } var TestObjectThin = function() { this.number = 42; } TestObjectThin.prototype.text = randomString(1000); randomString(x) just produces a, well, random String of length x. I then instantiated the objects in large quantities like this: var arr = new Array(); for (var i = 0; i < 1000; i++) { arr.push(new TestObjectFat()); // or new TestObjectThin() } ... and checked the memory usage of the browser process (Google Chrome). I know, that's not very exact... However, in both cases the memory usage went up significantly as expected (about 30MB for TestObjectFat), but the prototype variant used not much less memory (about 26MB for TestObjectThin). I also checked: The TestObjectThin instances contain the same string in their "text" property, so they are really using the property of the prototype. Now, I'm not so sure what to think about this. The prototyping doesn't seem to be the big memory saver at all. I know that prototyping is a great idea for many other reasons, but I'm specifically concerned with memory usage here. Any explanations why the prototype variant uses almost the same amount of memory? Am I missing something?

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