similar to: Histogram using frequency data

I would like to know how to convert a string with characters to all uppercase or all lowercase? If anyone could let me know if there exists a function in R for the conversion, that will be very helpful. Regards, Suman [[alternative HTML version deleted]]

I am using R on unix. While in R how do I execute the unix shell commands? Is there a way to do it? I am executing a function in R and the matrix resulting from the function has to be passed on as an input to unix command. Any directions will be helpful. Thanks, Suman [[alternative HTML version deleted]]

Hello All, I wanted to do many plots (in my case, wanted to get 6 histograms) on the same figure. Is there a method in R that analogous to 'subplot' in MATLAB? Any help will be very much appreciated. thanks, Suman [[alternative HTML version deleted]]

Hi, I wanted to know how to compute the correlation ratio (eta) between two variables using R. Is there any function to compute the correlation ratio. Any help will be very much appreciated. Thanks, Suman [[alternative HTML version deleted]]

I need help with calculating lsmeans (adjusted means) of different terms in a linear model including the main effect and the interaction effect terms. I use lm to run the linear models...I previously noted from literature that that "effects" package can be used to generate lsmeans. But I tried to use it but could not figure out which option to use to get means. If anyone can give an

Hi, I'm plotting a multiple histogram using the function multhist {package plotrix}, something like: library(plotrix) mh <- list(rnorm(200, mean=200, sd=50), rnorm(200, mean=250, sd=50)) multhist(mh) In this graph y-axis represents the frequency of observations.... but I would like it to be scaled into relative frequencies, does anybody know how to do this with multhist or similar

Hello, I have a big matrix of size (20,5) -bmat . I have to loop though the rows in the matrix and create DIFFERENT matrices each time I go through the loop. counts=c(4,6,10); p=1; for (i in 1:length(counts)) { smat=bmat[p:p+i-1,]; p=p+i; } The problem is smat overwrites itself each time inside the loop. I would like to have smat1, smat2, smat3 instead of a single vector smat.

Hello, This might be a very basic question but I was not sure how to go about it. I just wanted to calcluate the time it takes to run my program. Basically I was to put a timer at the start and the end of the program in order to see how much time it takes to give the output (similar to tic-tac in MATLAB) . Any help will be appreciated. Thanks, Suman [[alternative HTML version deleted]]

Hello, I have a dataset with 20,000 variables.and I would like to compute a pearson correlation matrix which will be 20000*20000. The cor() function doesnt work in this case due to memory problem. If you have any ideas regarding a feasible way to compute correlations on such a huge dataset, please help me out. Please feel free to share your memory handling techniques in R. Thanks, Suman

Question from an [R] novice... Hi, I have a vector of date/times like the one shown below (a truncated sample of a much longer list...) > dates[1:4] [1] "2006-03-16 08:41:00" "2006-03-16 10:28:00" "2006-03-16 11:03:00" [4] "2006-03-16 11:04:00" I would like to generate a weekday histogram showing the frequency of dates falling on each weekday. I know

Hi. I'd like to produce a barplot where only the lowest value and the highest value are labelled on the x-axis. E.g. I might have a list of numbers and frequencies: barplot( c( 2, 2, 0, 4, 2 ), names.arg=c( 1, 2, 3, 4, 5 ) ) where the data is a set of counts for some values between 1 and 5. I'd like to have a barplot where only the extremes 1 and 5 are labelled. How do I do this?

Hello: I'm dealing with an issue currently that I'm not sure the best way to approach. I've got a very large (10G+) dataset that I'm trying to create a histogram for. I don't seem to be able to use hist directly as I can not create an R vector of size greater than 2.2G. I considered condensing the data previous to loading it into R and just plotting the frequencies as a

I''m using standard barplot (Windows version 1.6.2 of R) to represent a certain weekly metric "v" and I would like to properly overlay on top of it its moving average "mean.8" (window of 8 weeks). I must be doing something wrong since the moving average (using "lines") doesn''t overlay properly, i.e., both x-scales do not match! ...

Thanks for all the help on my previous histogram problem. I intend to summarize the solutions back to the list Real Soon Now, but first, I've got another problem. I've made a bar chart that reports means. I'd like to put the number of observations on top of each bar. Here's what I've got: barplot((subset$x), col=grey(.5), ylab="Mean Engagement

Full_Name: Dr. Bernd Winkler Version: 1.2.2 OS: Linux Submission from: (NULL) (194.59.179.176) Hi all, having updated to version 1.2.2 last week I experienced some strange behaviour of the hist function. I want to plot a histogram of frequencies resp. counts, for example poisson random numbers, on a predefined and fixed x scale > hist(rpois(500, 2), breaks=0:10) But instead of the

I have a data set that I display using barplot. I don't know what you call it, but when I look at it, it looks like this: > lsu (0,0.1] (0.1,0.2] (0.2,0.3] (0.3,0.4] (0.4,0.5] (0.5,0.6] A 0.052631579 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 B 0.000000000 0.000000000 0.001007049 0.003021148 0.000000000 0.000000000 E 0.200000000 0.000000000

I have read a frequency table in to R called "temp." I now want to create a histogram table from it, but I obviously first have to expand the data - to the sample size of 100. I want to use the command rep(), but I'm not sure how to go about it..I tried using the code: temp1<-rep(temp$Chest,100) hist(temp1) But this creates a v. odd histogram so I know it must be wrong!

I'm trying to find a way to force all the x-axis tick labels to plot, regardless whether or not they overlap or look pretty. V is a factor with, say, 4 levels. A call to plot(V) gives a histogram-like plot, one bar for each level in V. The problem is that all the label names may not be plotted because some of the names are lengthy and would tend to overlap if plotted. I don't care

I have a very standard barplot. My labels are too long to be printed horizontally under each bar, so I am using text to put the labels on a 45 degree slant. However, the labels are spaced more narrowly than the bars, so on an 8 vertical bar plot, the end of the eighth label is lined up with the seventh bar. Preferably I don't want to do every text label separately (I'm having this

Hi, I have what should be a simple question. I would like to generate a histogram of x <- c("a","b","c","b","c","c") where the first bar to be labeled 'c' with height 3, second bar to be labeled 'b' with height 2 and third bar to be labeled 'a' with height 1. This should be an easy task in R but I think I