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• Install Ubuntu 13.10 in dual boot with Windows 8.1

  - by Xaxt

  I have a laptop with installed Windows 8.1 x64. I want to intstall Ubuntu 13.10 (x64 of cause) in dual boot with it. I've made bootable USB stick (using unetbootin) with Ubuntu and tried to boot with it. It boots fine, and allows me to choose language and asks whether I want to install Ubuntu or just boot it. But if I select any ot these options, it shows black screen and hangs. I've been waiting about 15 minutes for it, but nothing happened. Light of USB stick indicates that my laptop was not trying to read from it that time. I switched off EFI in BIOS, switched AHCI/SATA modes, burned ISO image to DVD and still same effect. This topic can be called a duplicated, but I have't find what it duplicates. In other topics people asked what will happen if they update Windows 8 to 8.1 having already dual boot and I have installed Windows 8.1 and want to install Ubuntu alongside with it Did I miss something?

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• R plot- SGAM plot counts vs. time - how do I get dates on the x-axis?

  - by Nate

  I'd like to plot this vs. time, with the actual dates (years actually, 1997,1998...2010). The dates are in a raw format, ala SAS, days since 1960 (hence as.date conversion). If I convert the dates using as.date to variable x, and do the GAM plot, I get an error. It works fine with the raw day numbers. But I want the plot to display the years (data are not equally spaced). structure(list(site = c(928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L), date = c(13493L, 13534L, 13566L, 13611L, 13723L, 13752L, 13804L, 13837L, 13927L, 14028L, 14082L, 14122L, 14150L, 14182L, 14199L, 16198L, 16279L, 16607L, 16945L, 17545L, 17650L, 17743L, 17868L, 17941L, 18017L, 18092L), y = c(7L, 7L, 17L, 18L, 17L, 17L, 10L, 3L, 17L, 24L, 11L, 5L, 5L, 3L, 5L, 14L, 2L, 9L, 9L, 4L, 7L, 6L, 1L, 0L, 5L, 0L)), .Names = c("site", "date", "y"), class = "data.frame", row.names = c(NA, -26L)) sgam1 <- gam(sites$y ~ s(sites$date)) sgam <- predict(sgam1, se=TRUE) plot(sites$date,sites$y,xaxt="n", xlab='Time', ylab='Counts') x<-as.Date(sites$date, origin="1960-01-01") axis(1, at=1:26,labels=x) lines(sites$date,sgam$fit, lty = 1) lines(sites$date,sgam$fit + 1.96* sgam$se, lty = 2) lines(sites$date,sgam$fit - 1.96* sgam$se, lty = 2) ggplot2 has a solution (it doesn't mind the as.date thing) but it gives me other problems...

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