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Hi, I'm Roslina, PhD student of University of South Australia, Australia from school Maths and Stats. I use S-Plus before and now has started using R-package. I used to analyse rainfall data using julian date. Is there any similar function that you can suggest to me to be used in R-package? Thank you so much for your attention and help [[alternative HTML version deleted]]

Hi, I am using levelplot, and would like remove from each panel (condition) its unused x levels. e.g. Remove from panel vs=1 the cyl level=8. data(mtcars) levelplot(mpg~factor(cyl)*factor(gear)|factor(vs)) Thanks for your help, Ronny -- View this message in context: http://r.789695.n4.nabble.com/Lattice-levelplot-remove-unused-levels-per-panel-tp4656087.html Sent from the R help mailing

here's my question: suppose I have a matrix: mt<-matrix(1:12,ncol=6) now I have a vector vt<-c(1,2,2,2,1,2) which means I want to get: the 1st row for column1; the 2nd row for column2; the 2nd row for column3; the 2nd row for column4; ... that what I want is this vector: 1,4,6,8,9,12 Does anyone know how to do this fast? I know I can use for-loop to travel all columns,but

Hello, What is the best way to turn a matrix into a list removing NaN's? I'm new to R... Start: > mt = matrix(c(1,4,NaN,5,3,6),2,3) > mt [,1] [,2] [,3] [1,] 1 NaN 3 [2,] 4 5 6 Desired result: > lst [[1]] [1] 1 3 [[2]] [1] 4 5 6 Thanks! Ben [[alternative HTML version deleted]]

....P.Val" "logFC" "Gene.symbol" "1419156_at" "5.32e-12" "2.6462565" "Sox4" "1433575_at" "5.32e-12" "3.9417089" "Sox4" "1428942_at" "2.64e-11" "3.9163618" "Mt2" "1454699_at" "2.69e-10" "1.8654677" "LOC100047324///Sesn1" "1416926_at" "3.19e-10" "2.172342" "Trp53inp1" "1422557_s_at" "1.58e-09" "2.9569254" "Mt1" etc. using the followi...

This is an expanded version of the question I tried to ask last night - I thought I had it this morning, but it's still not working and I just do not understand what is going wrong. What I am trying to do is write a wrapper for lattice xyplot() that passes a whole bunch of its secondary arguments, so that I can produce similarly formatted graphs for several different data sets. This is what

Hi all, Very surprising (to me!) and mystifying result from predict.glm(): the predictions vary depending on whether or not I use ns() or splines::ns(). Reprex follows: library(splines) set.seed(12345) dat <- data.frame(claim = rbinom(1000, 1, 0.5)) mns <- c(3.4, 3.6) sds <- c(0.24, 0.35) dat$wind <- exp(rnorm(nrow(dat), mean = mns[dat$claim + 1], sd = sds[dat$claim + 1])) dat <-

My box: Slackware-current, Xfree 4.4. ERROR as follows: gcc -I. -I../../../src/include -I../../../src/include -I/usr/X11R6/include -I/usr/local/include -DHAVE_CONFIG_H -D__NO_MATH_INLINES -mieee-fp -fPIC -g -O2 -c dataentry.c -o dataentry.lo In file included from dataentry.c:31: /usr/X11R6/include/X11/Xlib.h:1390: error: parse error before "_Xconst"