similar to: formatting results from a function argument

Hello, I am trying to create a stripchart for my data, where y axis labels are characters (ie,names of cities). I would like to change the orientation of the y - axis labels, ie perpendicular to y axis. Below is the code i am using: par(srt=90) with(ozone.ne.trim, stripchart(Median~City,main = "stripchart(ozone)")) The par option doesn't seem to working. Kindly help. Thanks

Hello all, I have the code below to simulate samples of certain size from a particular distribution (here,beta distribution) and compute some statistics for the samples. betasim2<-function(nsim,n,alpha,beta) { sim<-matrix(rbeta(nsim*n,alpha,beta),ncol=n) xmean<-apply(sim,1,mean) xvar<-apply(sim,1,var) xmedian<-apply(sim,1,median)

Dear all, I have searched the forums for an answer - and there is plenty of questions along the same line - but none of the paproaches shown worked to my problem: I have a data frame that I get from a csv: summarystats<-as.data.frame(read.csv(file=f_summary)); where I have the columns Dataset, Class, Type, Category,.. Problem1: I want to find a subset of this frame, based on values in

Dear all, Have you experienced problem of using numerical.summary() function? I used to be able to run this function in R, but not any more. Now I try to use this function, it gives me error like this: Error: could not find function "numerical.summary" I used to be able to run this function under library(s20x). Can someone please guide me on this ? Thanks. Rene

I made an ANOVA with repeated mesures (aov(Mesure~Distance*Genre*Correct+Error(Sujet/(Distance*Genre*Correct)), data)) and I would like to extract the pvalues. The output is: ----------------------------------------------------------- Error: Sujet Df Sum Sq Mean Sq F value Pr(>F) Residuals 21 97.082 4.623 Error: Sujet:Distance Df Sum Sq Mean Sq F value Pr(>F) Distance

dear all i have this dataset: x,y, datavalue > dati[,c(1,2,5)] [,1] [, 2] [,3] [1,] 2.386 3.077 1.740 [2,] 2.544 1.972 1.335 [3,] 2.807 3.347 1.610 [4,] 4.308 1.933 2.150 [5,] 4.383 1.081 1.565 [6,] 3.244 4.519 1.145 [7,] 3.925 3.785 0.894 [8,] 2.116 3.498 0.525 [9,] 1.842 0.989 0.240 [10,] 1.709 1.843 0.625 [11,] 3.800 4.578 3.873 [12,] 2.699 1.199 1.425

hI I have to calculate V statistic for each row of a large dataframe (28000). I can not use multtest package for paired wilcox test. I have been using for loop which are. Is there a way to speed the computation with another method like using apply or tapply? My data set looks like this: 11573_MB 11911_MB 11966_MB 12091_MB 12168_MB 12420_MB................ cg00000292

Hello All, I am trying to use the unfold function in RcmdrPlugin.survival library, which converts the survival data with time varying covariates to the counting process notation. The problem is somehow, the event indicator created is not correct. Below is the data, I am trying to convert: CASE TRT FAILTIME FAILCENS SEX AGE IGG0 IGG28 IGG42 IGG84 IGG364 26003 A 11.2033