similar to: Correlation question (from a newbie)

Dear Rxperts! I was wondering if it is possible to write a function which can take in argument of a subset or condition.. Of course, I am aware of the alternate methods like coplot, par.plot, xyplot etc... I am specifically interested in using conditions/subsets with "plot".. A simple fragmented example is shown here.. pltit <- function(y,x,dat,dat1,dat2,sbst) { plot(y~x, data=dat,

Dear Rxperts.. what settings in barplot and histogram do I use, to show bars in an monotonously increasing or decreasing order of the frequency of a categorical variable? an example is provided below.. histogram(~factor(sample(letters,200,rep=T))) I was able to get it in 3 - 4 steps.. l a1 <- sample(letter,200,rep=T) a2 <- table(a1) barplot(a2); barplot(sort(a2)) # all variables are not

Hello Rxperts.. I have a peculiar situation.. XML library is not available with R2.15.1 whereas I was able to install it with R version 2.13.1. Would highly appreciate your suggestions. I am now trying to see if XML works with previous versions of R. Thanks, Santosh [[alternative HTML version deleted]]

Dear R experts, There seems to be a problem (please see the error messages below) with the installation of the latest version of xpose4 (version 4.2.1) with the latest R version.(2.11.1)... I didn't face such installation problems when using version R.2.10.1 Would really appreciate your assistance in debugging installation of xpose 4..2.1 with R.2.11.1 Thanks again.. -Santosh On Wed, Jul

Dear R gurus.. Is it possible to control span settings for different values of a grouping variable, when using xyplot? an example code shown below d=data.frame(x=rep(sample(1:5,rep=F),10),y=rnorm(50),z=rep(sample(LETTERS[1:2],rep=F),25)) xyplot(y~x,data=d,groups=z,panel=panel.superpose,panel.groups=panel.loess(span=c(2/3, 3/4,1/2)) or something like..

Dear Rxperts, I am aware of Sweave that generates reports into a pdf, but do know of any tools to generate to export to a MS Word document... Is there a way to use R to generate and export report/publication quality tables and figures and export them to MS word (for reporting purposes)? Thanks so much, Santosh [[alternative HTML version deleted]]

Hi, I have a dataset which has a categorical variable "R",a count variable C (integer) and 4 or more numeric variables (A,T,W,H - integers) containing measures for "R". I would like to summarize each level of the variable R by the average for A,T,W and H. I have written a function to calculate weighted averages using C as the weight and this is given below. The function

Dear R-gurus aa <- data.frame(a1=rnorm(20),b1=rnorm(20,0.8),c1=rnorm(20,0.5)) sapply(aa,function(x) histogram(x,breaks=NULL)) or px <- sapply(aa,function(x) histogram(x,breaks=NULL)) print(px,split=c(1,1,1,1),more=F) The above code does not seem to work. am I missing something? Thanks, Santosh [[alternative HTML version deleted]]

Dear R-sians.. I am trying to plot boxplots with side-by-side option.. I tried some of the posted suggestions and could not make it work due to unequal sizes of categories... e.g. weekly measured water depth values are categorized into 5 levels based on their values such measurement is again categorized into dichotomous levels - based on the result of a test I would like generate boxplot of

Dear Rxperts, Through Windows OS, I created shortcuts (paste as shortcut) to excel spreadsheets ( with "xlsx" as the file extension). I wasn't able to read the shortcuts through R and using "read" functions of "xlsx" package. exf <- "a1.xlsx.lnk" > read.xlsx(exf,1) Error in .jcall("RJavaTools", "Ljava/lang/Object;",

Hi Rxperts, I tried with r-cran-rgl (based on the default installation of Ubuntu) with reinstalled rgl package from R-forge.. I get the missing GL/gl.h header. Didn't reinstall Mesa libraries per recommendations of Duncan. * installing *source* package ?rgl? ...** package ?rgl? successfully unpacked and MD5 sums checkedchecking for gcc... gcc -std=gnu99 checking whether the C compiler

Dear Rxperts, is there way to identify intervals from continuous data (having some kind of a pattern) and then pick the value of most frequency? a1 <- round(rnorm(50,mean=0,0.1),2) a2 <- round(rnorm(50,mean=1,0.2),1) a3 <- round(rnorm(50,mean=5,1),0) a4 <- round(rnorm(50,mean=14,4),0) a5 <- round(rnorm(50,mean=30,8),0) b1 <- rbind(a1,a2,a3,a4,a5) hist(b1,brea=100) # shows

Dear R'sians, Would really appreciate if you could suggest a more efficient way to order the columns of a dataset. The column names of the dataset contain indices separated by a period. Following are examples of my code and the dataset. oC <- function(tg=x2) { lth <- length(grep("T",names(tg))) thix <-

Dear Rxperts! My colleagues used SAS PROC COPY to generate the xpt files that could be read by the available "xpt" file reading packages in R. However, I am unable to use the R packages for reading SAS transport files generated through SAS PROC CPORT. I have tried SASxport, Hmisc, and foreign. Any ideas/suggestions are more than welcome! Thanks so much! Santosh [[alternative HTML

Dear Rxperts, Was wondering if there is any function in R similar to options("time.zone"): found in S-Plus that can help in looking at the default timezone settings.. Thanks much, Santosh [ [[alternative HTML version deleted]]

Dear R'sians.. I apologize if this topic has been beaten to death and hope that hawks don't pounce on me! Could you please suggest an efficient way to filter rows from 500+ text files (some with 30000+ rows with multiple section table headers) residing in several folders? I guess probably "scan" is the fastest way to scan a file, but, I noticed it sometimes takes a long time

Hi Duncan, Thanks for the suggestions. How do I uninstall mesa related installations? Do I need to uninstall all of "mesa" or only the specific ones? Santosh On Fri, Nov 24, 2017 at 3:05 PM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 24/11/2017 5:45 PM, Dirk Eddelbuettel wrote: > >> >> On 24 November 2017 at 11:30, Santosh wrote: >> | Hi

Dear Rxperts Below is a small vector of values of zeros and non-zeros... was wondering if there is an efficient way to get the block sizes of submatrices of a big matrix similar to the one shown below? diagonal elements can be zero too. Rows with only a diagonal element may be considered as a unit block size. c(1,0,0,0,0,0,0,0,0,0,0, 1,1,0,0,0,0,0,0,0,0,0, 0,0,1,0,0,0,0,0,0,0,0,

Dear R-sians Quick question... 1) From a flat (data) file with 100+ columns, how do I read specific columns instead of reading the entire dataset? I am trying to avoid reading the entire file followed by "subsetting". 2) is the a way to a call a column of dataframe through a variable.. e.g. e,g var="date" something like... data${var} <- "02 Oct 2009? Regards,

Dear Rxperts! A simple example where "write.csv" does not seem to accept user specified arguments.. Why? write.csv(t(1:10),"./te1.csv",quo=F,col.names=F) Warning message: In write.csv(t(1:10), "./te1.csv", quo = F, col.names = F) : attempt to set 'col.names' ignored However, write.table does fine..