I ended up just using a vba macro for Excel. Hopefully I can start transitioning to R for some of these tasks soon.
Thanks, kbrownk On Dec 20, 6:14 pm, Sarah Goslee <sarah.gos...@gmail.com> wrote: > > bindata <- 1:5 > > nobs <- c(2, 3, 1, 4, 3) > > rep(bindata, times=nobs) > > [1] 1 1 2 2 2 3 4 4 4 4 5 5 5 > > for the R part, and see below: > > Sarah > > On Tue, Dec 20, 2011 at 5:45 PM, kbrownk <kbro...@gmail.com> wrote: > > I need to measure kurtosis, skew, and maybe dip test on some > > distributions I have. Currently my data is in the form of 2 vectors x > > and y. Where x is 10 bins and y is the number of observations found in > > that bin. It seems that the measures I want to run require the actual > > observations laid out rather than already summed like I have them. Any > > suggestions on how to transform the data automatically? I have a semi- > > automated method in Excel but I think r will do a better job. I > > provide a more specific example below: > > > My csv file with the data looks like this: > > Bin: 1,2,3, ... ,10 #Observations: 23,42,1,... 56 > > Really? By default R will treat everything after the # as a comment, so > you'll need to watch out for the comment character option when you > import it. > > You're also trying to use two or maybe three separate delimiters, which > R can't easily handle. Why not use a proper CSV file with Comma Separated > Values? > > > I need this transformed into a single vector like this: > > c(1,1,1,1...2,2,2,2...3,...10,10,10,10...) The vector would have 23 > > "1"s, 42 "2s", 1 "3", etc. > > > I actually have 68 of these vectors laid out in rows that I will > > measure separately, so my csv file actually looks like this: > > Bin: 1,2,3, ... ,10 #Observations: 23,42,1,... 56 > > Bin: 1,2,3, ... ,10 #Observations: 13,33,32,...98 > > . > > . > > . > > Bin: 1,2,3, ... ,10 #Observations: 11,76,55,...46 > > > I want to automate the process. > > -- > Sarah Gosleehttp://www.functionaldiversity.org > > ______________________________________________ > r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
