similar to: Creating a boxplot from a data summary

I was thinking of splitting the y-axis into two? Is this possible? Thanks -- Shane [[alternative HTML version deleted]]

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]]

Hello developers folks! First, congratulations for the wonderful work with R. For science, barplots with error bars are very important. We were wondering that is so easy to use the boxplot function: boxplot(Spores~treatment, col=treatment_colors) But there is no such function for barplots with standard deviation or standard error. It becomes a "journey" to plot a simple graph (e.g.

Hi the list, Using misc3d, we can export 3d dynamic graph in pdf format. Is it also possible to export these graph into a format that we can publish on the web? Christophe -- Christophe Genolini Maître de conférences en bio-statistique Vice président Communication interne et animation du campus Université Paris Ouest Nanterre La Défense [[alternative HTML version deleted]]

Hi, I'm trying to use the data which I generate within R to make images in .bmp format to be lateron printed by a printer. My first thought was the RImageJ package, but this seems to be discontinued. What I am currently doing is generating a matrix of grey values, which needs to be parsed into the right image format. Is anyone aware of a package or rather "easy" way to generate

I am not sure if I should ask this question in this list. But I'll try. Currently I am trying to analyze images using EBImage and biOps. One of the features that I need to extract from various images is the color spectrum, namely, which colors each image consists of. So, each image hopefully can be converted into some sort of color histogram so that color ingredients are easily comparable

> replicate(1000, {dev.new(); dev.off()}) R(83204,0xacdc1a28) malloc: *** mmap(size=16777216) failed (error code=12) *** error: can't allocate region *** set a breakpoint in malloc_error_break to debug R(83204,0xacdc1a28) malloc: *** mmap(size=16777216) failed (error code=12) *** error: can't allocate region *** set a breakpoint in malloc_error_break to debug ... *** caught bus error

Hi, I am new to R and I would like to get your help in finding 'outliers'. I have mvoutlier package installed in my system and added the package . But I not able find a function from 'mvoutlier' package which will identify 'outliers'. This is the sample list of data I have got which has one out-lier. 11489 11008 11873 80000000 9558 8645 8024 8371 It will

If I have a data frame something like: Value=rnorm(30) Group = sample(c('A','B','C'), 30, replace=TRUE) df = data.frame(Value, Group) It seems like it should be simple to create an 'ObsID' column which indicates the observation order of each Value within each of the 3 groups. Somehow, I can't quite see how to do it without manually sub-setting the parent data

Dear R-devel mailing list, I am wondering whether the "theta" and "phi" parameters of the "persp" function in the graphics commands are named in error (the names seem to have been swapped). Also, in the documentation to "persp", reference is made to "colatitude" when the effect in the image is actually that of "latitude". Thank you,

Hi I am not sure why I can't get my plot saved to a file as .ps, I searched online and I found that I have to use something is called postscript,png or pdf function which I did but still not working. Actually what I have is a matrix with almost 300-400 columns. I need to create a histogram and boxplot for some columns as .ps file (with reasonable size if i can adjust that would be nice also)

I got the following: > library(foreign) > swal = read.spss("swallowing.sav", to.data.frame =TRUE) Warning message: In read.spss("swallowing.sav", to.data.frame = TRUE) : swallowing.sav: Unrecognized record type 7, subtype 21 encountered in system file > The bulk of the data seems to read in a usable form, but I'm curious about what might be getting lost

Dear R-users Please excuse me if this topic has been covered before, but I was unable to find anything relevant by searching I am currently doing a comparison of two biological variables that have a highly significant linear relationship. I know that the p-value of linear regression is not so interesting in itself, but this particular value does raise a question. How does R calculate

Hi, I created a function for obtaining the normal cumulative distribution (I know all this already exists in R, I just wanted to verify my understanding of it). below is the code I came up with. cdf<-function(x) { erf<-function(x) { # approximation to the error function (erf) of the # normal cumulative distribution function # from Winitzki

Dear All,   another quick question, this one is on skipping part of my code, so let us say:   a <-5 b <-2 e <-0   d <-a+b f <-a-b   what I would like to do is to have R NOT to calculate the value for d in case the value of e equals to zero (essentially skip that "chunk"), but instead move on to calculate te value for f. In the code I am working with the value of e changes,

I am a very new R user. I am trying to write functons and debug functions. One problem for me is that I need to alwasy copy the whole function body and resubmit to R console every time I changed even one line of the function. Because I have long algorithm function, copying and pasting is very tedious for me. I assume if I save the function files, R should be able to just use the new function body

Is there an easy way to make the error bars the same color as the points and lines they are plotted with. My example # fake data x=sample(1:10, 100, replace =T) y = rnorm(100) + runif(100) df=data.frame(x,y) # summarize data m = aggregate(df,list(x),mean) se = aggregate(df,list(x),sd)/sqrt(10) library(Hmisc) plot(x,y) errbar(m$x, m$y, m$y+1.96*se$y,

In following a thread on this mailing list, I encounter an apparent issue with **Edit | Paste commands only** in the Windows R-GUI. Reproducible steps: Go to (using IE?): http://www.r-bloggers.com/select-operations-on-r-data-frames/ Find the section entitled 'Duplicate row names' Copy the following lines from the web page < a = matrix(1:18, nrow=6, ncol=3) < rownames(a) <-

Dear R-helpers, In my dataset I have two continuous variable (A and B) and one factor. I'm investigating the regression between the two variables usign the command lm(A ~ B, ...) but now I want to know the regression coefficient (r2) of A vs. B for every factors. I know that I can obtain this information with excel, but the factor have 68 levels...maybe [r] have a useful command. Thanks,

Good Afternoon- I was wanting to alter the boxplot to remove the lower whisker, both the whisker line and staple just on the lower end. Is there a way to do this? As my code is currently: boxplot(log_loads~ind,data=nfmaum, horizontal=TRUE, notch=T, outline=FALSE, whisker=0, main="Maumee River Near Future Climate Scenarios", ylab="Log Load",xlab="Climate Scenarios")