similar to: simple function with if -> lapply to dataframe

Dear R community, I am plotting a histogram and would wish to display another variable of the same dataset in a very narrow heatmap just below the x-axis. Never mind the specifics of my task: How can I draw a second graph/image just below a first graph/image? Thank you! Georg. *************** Georg Ehret JHU Baltimore, MD 21043, USA [[alternative HTML version deleted]]

Dear R community, I have a dataframe with say 100 different variables. I wish to regress variable 1 separately on every other variable (2-100) in a linear regression using lm. There must be an easy way to do this without loops, but I have difficulties figuring this out... Can you please help? Thank you and best regards, Georg. ***************************************** Georg Ehret Johns Hopkins

Dear R comunity, I am printing a number in a graph using "text(...)" - see code below: "fraction" is my number. I wish to print only two digits of the number and struggle to do this... options(digit=3) does not work... Thank you for your suggestions! Cheers, Georg. ********************************** Georg Ehret Johns Hopkins Baltimore

Dear R community, I am creating large graphs with hundreds of thousands of datapoints. My usual way for output was pdf, but now I am getting file sizes of >30Mb that do not open well (or at all) in Adobe. Is there a way to reduce the resolution or get rid of overlaying datapoints? Any other idea is also warmly welcome! Thank you and wishing you a good day! Georg. **********************

Dear R communtiy, I do not understand why this does not work...: > betaS$SBP [1] 0.03274 -0.04216 -0.08986 -0.45980 0.60320 -0.63070 -0.05682 0.20130 > t<-c("betaS$SBP") > t [1] "betaS$SBP" > get(t) Error in get(t) : object 'betaS$SBP' not found [I am trying to use the variable "t" in a loop to call many different objects, but the

Dear R community, I am using 6 variables to test for an effect (by linear regression). These 6 variables are strongly correlated among each other and I would like to find out the number of independent test that I perform in this calcuation. For this I calculated a matrix of correlation coefficients between the variables (see below). But to find the rank of the table in R is not the right

Dear R, I am often adding a total rows or column (sum over all rows or columns) when using table(data$1,data$2)... I do this now by adding the rows/columns and rbind() or cbind()... But there must be a more efficient way.... Could someone please give me a hint? Thank you! With my best regards, Georg. ******************* Georg Ehret Johns Hopkins Baltimore [[alternative HTML version deleted]]

Dear R community, I am using a dataset and would like to define new variables using a R variable: e.g. for (i in 1:10){ dataset$i<-something } But this is not the right way, I get only one variable in "dataset"... How can I change this? Thank you! Georg. ************************ Georg Ehret Johns Hopkins Baltimore, MD [[alternative HTML version deleted]]

Dear R user group, I am working with boxplots and cannot solve the following problem: > data<-c(0,15,0,60,0,0,0,0,0,60,60,0,60,0,30,0) > data [1] 0 15 0 60 0 0 0 0 0 60 60 0 60 0 30 0 > boxplot(data) The boxplot has the first hinge and the mean-bar both at 0... Why is this the mean is clearly >0! Thanking you and wishing you an excellent day, Georg.

Dear R Usergroup, I have the following vector and I would like to split it on ",". How can I do this? > u [1] "160798191,160802762,160813395,160816017,160817873,160824082,160825247,160826925,160834272,160836257," Thank you in advance! With my best regards, Georg. ************************************ Georg Ehret Baltimore USA [[alternative HTML version deleted]]

Dear Ms and Mr R, I am seeking a visually appealing presentation of 3 variables (~30 datapoints) that are correlated and that should to into the same direction. The objective is to show that they do go in the same direction and what differences there might be while also giving an idea of the values of the variables. I had done this with simple bargraphs for 6 datapoints in the past, but for

Dear R community, I would wish to color the background of my histogram differently to the left and right of an abline... Can you please help? Thankin you, Georg. **************************** Georg Ehret JHU Baltimore - USA [[alternative HTML version deleted]]

Dear R community, I wish to include a variable (e.g. slice of "a" below) in another variable's name. My objective would be to get a variable-name "data_A" and so on. How can I do this? > a<-LETTERS[1:25] > a [1] "A" "B" "C" "D" "E" "F" "G" "H" "I" "J"

Dear Miss R, I am trying to plot a scatterplot in which the points (round) should have two colors: half red and half blue (if you want: two half solid circles put together. Can you please help me to realize this efficiently? Thank you, Best regards, Georg. *************************************** Georg Ehret Geneva University Hospital Geneva, Switzerland [[alternative HTML version deleted]]

Dear R community, Can I please get some advice on the following: I wish to obtain a list of residuals, padded by NAs for NAs in my source data. I tried several options of "na.action", but did not succeed... Example: I would like to get "0,0,0,0,NA,NA": > a [1] 1 2 3 4 NA 9 > b [1] 3 4 5 6 7 NA > lm(a~b)$residuals 1 2 3 4 0 0 0 0 >

Dear R community, I wish to print tables into a pdf file. How can this be done, adding headers and several tables to the same file? Thanking you for your attention, Georg. ***************************** Georg Ehret Johns Hopkins Baltimore - US [[alternative HTML version deleted]]

Dear R community, I am using densityplot (lattice package) for a large dataset and wish to print it to a jpeg (the pdf is huge). R crashes consistently. Am I doing it wrong or is densityplot incompatible with jpeg? I work on a Mac, R 2.7.0. > require(lattice) > jpeg("test.jpeg") > d[1:10] [1] 0.700218 0.700175 0.700357 0.700847 0.698286 0.701520 0.698158 0.699300 0.698819

Dear R community, I have data on beta&standard error (for the main effect of variable x), stratified by sex for my dataset. I wish to calculate the sex-interaction effect (as beta&se) from these two stratified datasets. Is there a package to do this? If not, any advice how to do it manually? Thank you very much and best regards, Georg. ************************ Georg Ehret, JHU,

Dear R community, I have a fairly large file with variables in rows. Every variable (thousands) needs to be regressed on a reference variable. The file is too big to load into R (or R gets too slow having done it) and I do now read in line by line with "scan" (see below) and write the results to out. Although improved, this is still very slow... Can someone please help me and suggest

Dear Ms. R, I struggle with a very basic command for most of you: How to change the working-directory by command-line? Thank you! Georg. ****************** Georg Ehret Johns Hopkins University School of Medicine Broadway Research Building, Room 572 733 N. Broadway Baltimore, MD 21205 Phone: (410) 502-7530 Fax: (410) 502-7544 e-mail: georg@jhmi.edu [[alternative HTML version deleted]]