search for: studmed

I know this is fairly basic, but I must have somehow missed it in the manuals. I have two vectors, often of unequal length. I would like to compare them for identity. Order of elements do not matter, but they should contain the same. I.e: I want this kind of comparison: > if (1==1) show("yes") else show("blah") [1] "yes" > if (1==2) show("yes") else

Hello list:) I have lots of values which I would like to get a histogram outline out of. An example of what I am talking about: testdata = runif(100) bbb = seq(0,1, by = 0.01) hist(testdata, breaks = bbb) I would like to get the outline of the resulting histogram. Now, I think that I can do this using the stepfun function. However, I am uncertain of how to get to the data the stepfun function

I have a problem regarding the colors assigned to the lines in the key to an xy plot. I specify the plot like this: xyplot(numbers~sqrt(breaks)|moltype+disttype, groups = type, data = alldata, layout = c(3,2), type = "l" , lwd = 2, col = c("gray", "skyblue"), key = simpleKey(levels(alldata$type), points = FALSE, lines = TRUE, columns = 2, lwd = 2,

I have a function that creates a list based on some clustered data: mix <- function(Y, pid) { hc = gethc(Y,pid) maxheight = max(hc$height) noingrp = processhc(hc) one = noingrp$one two = noingrp$two twoisone = "one" if (two != 1) twoisone = "more" out = list(pid = pid,one = noingrp$one, two = noingrp$two, diff = maxheight, noseqs = length(hc$labels), twogrp = twoisone)

Hello, I am a new r-user, and after a great effort I have made this fantastic figure with qplot: qplot(ROI, CBF, fill=factor(Carrier), data=combinedboxplot_dataset_se_1_CBF, geom="boxplot", position="dodge",xlab=NULL,ylab=("CBF,white matter-normalized"),main=("Differences between carriers and non-carriers on baseline"))+theme_bw() Can anyone help me

Hello list! I have a set of data like this: > alldata[1:5,] breaks numbers disttype moltype type 1 0.0000000 6598 Gapped Distances 5S Between species 2 0.4066667 0 Gapped Distances 5S Between species 3 0.8133333 5228 Gapped Distances 5S Between species 4 1.2200000 0 Gapped Distances 5S Between species 5 1.6266667 9702 Gapped