similar to: Password-protect R script files

Dear all, Is there a quick and easy way of converting utf characters to the \uxxxx form (necessary e.g. for packages)? I mean something working like this: > utf2uxxxx("õäöü") [1] "\u00f5\u00e4\u00f6\u00fc" It is easy to program but perhaps someone already has implemented this. (I couldn't find anything useful from searches incl RSiteSearch). Thanks in advance, Kenn

Dear all, I've used RODBC a lot to read in files created in MS excel and access but found a strange problem today: a variable in my data file contained both numbers and text; sqlFetch would set text within a row of numbers to NA; but if first 5 or 6 rows would be text then all numbers would be read in as NA. con<-odbcConnectExcel("xample.xls") #the file is attached or at

Dear all, I am working with a list of objects each of which contains two POSIXct objects (say, $Start and $End) and a number of different data in addition to that. Now an easy way to extract Start times of all object could be sapply(x, "[", "Start") but this converts them all to numeric, and so does sapply(x, "[[", "Start"). lapply preserves the class but

Hallo! Is there a package in R that does Q-type factor analysis? I know how to do principal component analysis, but haven't found any application of Q-type factor analysis. Thx, Julia -- Psssst! Schon vom neuen GMX MultiMessenger geh?rt? Der kanns mit allen: http://www.gmx.net/de/go/multimessenger

Dear R Group Here is what i am trying to do.. but couldnt figure out how.. string<-"ABC DEFG HIJKLM NOPQ RSTUV WXY" string1<-substr(string,1,4) I want to create an R object string 2 ( following the logic shown).. R does not allow string subtraction.. any suggestions how to achieve this? string2<-string-string1 (it should now hold "DEFG HIJKLM NOPQ RSTUV WXY" I

Hi I am looking at generating a random dataset of say 100 values fitting in a normal distribution of a given mean and SD, I am aware of rnorm function. However i am trying to build into this function one added constraint that all the random value generated should also obey the constraint that they only take values between say X to X+25 How do i do this in R? Any help would be highly appreciated,.

Dear all, I sometimes use the following function: Curry <- function(FUN,...) { # by Byron Ellis, https://stat.ethz.ch/pipermail/r-devel/2007-November/047318.html .orig <- list(...) function(...) do.call(FUN,c(.orig,list(...))) } ... and have thought it might be convenient to have a method for [ doing this. As a simple example, > apply(M, 1, mean[trim=0.1]) # hypothetical

Dear R Group I have a character vector from which I want to select a few elements and create a new character vector. I need a GUI to do this in R Script. Can someone help? a<-c("A","B","C","D","E") ## I want to have a GUI in R that will display elements in "object a" as a drop down list.. from there I want to be able to select a

Dear R Group Can any body point me to a link from where I can get zip archive of the package HH for R 2.12.0? Thanks & Regards Vijayan Padmanabhan "What is expressed without proof can be denied without proof" - Euclide. Please visit us at www.itcportal.com ****************************************************************************** This Communication is for the exclusive use

Using Ulrik?s example data (and assuming I understand what is wanted), here is what I would do: ex.dat <- c("FName: fname1", "Fval: Fval1.name1", "Fval: ", "FName: fname2", "Fval: Fval2.name2", "FName: fname3") tst <- data.frame(x = ex.dat, stringsAsFactors=FALSE) sp <- strsplit(tst$x, ':', fixed=TRUE) chk <-

Dear R Group I had an observation that in some cases, when I use the randomForest model to create partialPlot in R using the package "randomForest" the y-axis displays values that are more than -1! It is a classification problem that i was trying to address. Any insights as to how the y axis can display value more than -1 for some variables? Am i missing something! Thanks Regards

Dear R-help Group Scenario 1: I have a text file running to 1000 of lines...that is like as follows: [922] "FieldName: Wk3PackSubMonth" [923] "FieldValue: Apr" [924] "FieldName: Wk3PackSubYear" [925] "FieldValue: 2017" [926] "FieldName: Wk3Code1" [927] "FieldValue: " [928] "FieldValue: K4" [929] "FieldName:

Dear R Help group I need to run a command line script from within R session. I am not clear how i can acheive this. I tried shell and system function, but i am missing something critical.can someone provide help? My intention is to create a pdf file of a plot in R and then attach existing files from my system as attachment into the newly created pdf file. Any help would be greatly appreciated..

Hello all I would like to ask your help use mapply. I have a function called findCell that takes two arguments(x,sr) where x is a vector of size two (e.g x<-c(2,3) and sr is a matrix. I would like to call many times the findCell function (thus I need mapply) for different x inputs but always for the same sr. as x is a vector of size two (two cells) I want to pass inside inside the following

Dear Group I have to populate a column in a R dataframe containing say 99 rows, where for every 3 row one row (randomly determined) of the column should take the value 1 and the other 2 row of that column should take the value 0. I used the command dataframe$new<-rep(sample(c(0,1,0),3,replace=FALSE),99) This command repeats the same patter of response across the entire column.. I would

@Don your solution does not solve Vijayan's scenario 2. I used spread and gather for that. An alternative solution to insert mising Fval - picking up with Don's newtst - is newtst <- c("FName: fname1", "Fval: Fval1.name1", "FName: fname2", "Fval: Fval2.name2", "FName: fname3", "FName: fname4", "Fval: fval4.fname4")

Dear R Group I have a matrix object in R, where i want to retain only those columns which have each row from a different group.. see the example below.. team1<-c("a1","a2","b1","b2","b3","c1","c2") teams<-combn(team1, 3) I want a function which will delete all columns in the teams matrix that have more than 1 row

Friends. I cannot simplify this much, and I think the loop is unavoidable. As a recovering C programmer I want to avoid loops and in cases like this I almost allways can by using an apply function. But I suspect in this case there is nothing I can do. It is a finance example where a price series is compared to a moving average. If the price goes above the average, plus a bit, buy the

Dear R Group I was trying to use the triangle.test function in SensoMineR and strangely i encounter a error in the output of preference matrix from the analysis. To illustrate, pl see the following dataframe of a design with the response and preference collected as shown below: design<-structure(list(`Product X` = c(3, 1, 4, 2, 4, 2, 1, 3, 4, 2, 4, 2, 1, 3, 4, 2, 4, 2, 3, 1), `Product Y` =

Hi Vijayan, one way going about it *could* be this: library(dplyr) library(tidyr) library(purrr) ex_dat <- c("FName: fname1", "Fval: Fval1.name1", "Fval: ", "FName: fname2", "Fval: Fval2.name2", "FName: fname3") data.frame(x = ex_dat) %>% separate(x, c("F1", "F2"), sep = ": ") %>% filter(F2