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I have data I'd like to plot using the formula interface to boxplot. I call boxplot like so: with(mydata, boxplot(count ~ geno * tissue)) I get a boxplot with x axis labels like "wt.kidney". I would like to change the '.' to a newline. Where is this separator configured? Thanks, -Ed

.... ---------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77843-4352 -----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Ista Zahn Sent: Thursday, September 28, 2017 12:27 PM To: Ed Siefker <ebs15242 at gmail.com> Cc: r-help <r-help at r-project.org> Subject: Re: [R] Boxplot, formula interface, and labels. mybp <- boxplot(count ~ geno * tissue, data = mydata, plot = FALSE) mybp$names <- gsub("\\.", "\n", mybp$names) bxp(mybp) See ?boxplot for de...

...in a function and not at the console? Shouldn't I be able to rely on what I do at the console working in a script? Is this inconsistent behavior by design? On Thu, Nov 2, 2017 at 11:54 AM, David Winsemius <dwinsemius at comcast.net> wrote: > >> On Nov 2, 2017, at 9:27 AM, Ed Siefker <ebs15242 at gmail.com> wrote: >> >> I have a function: >> >> myplot <- function (X) { >> d <- plotCounts(dds2, gene=X, intgroup="condition", returnData=TRUE) >> png(paste("img/", X, ".png", sep="")) >&...

mybp <- boxplot(count ~ geno * tissue, data = mydata, plot = FALSE) mybp$names <- gsub("\\.", "\n", mybp$names) bxp(mybp) See ?boxplot for details. Best, Ista On Thu, Sep 28, 2017 at 12:40 PM, Ed Siefker <ebs15242 at gmail.com> wrote: > I have data I'd like to plot using the formula interface to boxplot. > I call boxplot like so: > > with(mydata, boxplot(count ~ geno * tissue)) > > I get a boxplot with x axis labels like "wt.kidney". I would like > to chang...

...9.20DKO E11.5 F9.20DKO PEd2 E11.5 F9.20DKO PEd2 E11.5 F9.20DKO E11.5 F9.20DKO j0J1 E11.5 F9.20DKO j0J1 E11.5 F9.20DKO > colnames(samples) [1] "quant_samples" "age" "geno" Really, really confused. On Tue, Oct 24, 2017 at 12:58 PM, Ed Siefker <ebs15242 at gmail.com> wrote: > Why doesn't this work? > >> samples$geno <- as.data.frame(sapply(yo, toupper), col.names="geno") >> samples > quant_samples age sapply(yo, toupper) > E11.5 F20het BA40 E11.5 F20het BA40 E...

Why doesn't this work? > samples$geno <- as.data.frame(sapply(yo, toupper), col.names="geno") > samples quant_samples age sapply(yo, toupper) E11.5 F20het BA40 E11.5 F20het BA40 E11.5 F20HET E11.5 F20het BA45 E11.5 F20het BA45 E11.5 F20HET

Hi, I am running Debian Sid. I am having trouble with the R packages. Executing 'help()' or 'demo()' launches 'most' with no text. 'help.start()' works properly. When I try to install a package, I get the following problem: ********************************************************************* > install.packages("ctv") Installing package(s) into

I have dose response data analyzed with the package 'drc'. 'summary(mymodel)' prints my kinetic parameters. I want that text in an ASCII text file. I want to get exactly what I would get if I copied and pasted from the terminal window. I've read the documentation on data export to text files here:

On Fri, 18 May 2018, Ed Siefker wrote: > I have dose response data I have analyzed with the 'drc' package. > Using plot() works great. I want to arrange my plots and source > data on a single page. I think 'gridExtra' is the usual package for > this. > > I could use plot() and par(mfrow=...),...

My expectations are probably wrong, but I had to manually kill a process to unlock a file when I think it should have killed itself. I have deadtime set to 15 and keepalive at default (300). I opened a file on my server in Excel, then shut down the machine. Hours later someone tells me the file is locked. Shouldn't keepalive have detected that the machine was off in 5 minutes?

On Tue, Nov 01, 2016 at 05:09:34PM -0700, Jeremy Allison via samba wrote: > On Tue, Nov 01, 2016 at 05:16:47PM -0500, Ed Siefker via samba wrote: > > My expectations are probably wrong, but I had to manually kill a process > > to unlock a file when I think it should have killed itself. > > > > I have deadtime set to 15 and keepalive at default (300). I opened a file on > > my server in Excel,...

Is there a way I can get the names of the arguments passed to a function from within a function?

I have a list of suffixes I want to turn into file names with extensions. suff<- c("C1", "C2", "C3") paste("filename_", suff[[1]], ".ext", sep="") [1] "filename_C1.ext" How do I use lapply() on that call to paste()? What's the right way to do this: filenames <- lapply(suff, paste, ...) ? Can I have lapply()

I have dose response data I have analyzed with the 'drc' package. Using plot() works great. I want to arrange my plots and source data on a single page. I think 'gridExtra' is the usual package for this. I could use plot() and par(mfrow=...), but then I can't put the source data table on the page. gridExtra provides grid.table() which makes nice graphical tables. It

I have a list of file names, and a list of data frames contained in those files. mynames <- list.files() mydata <- lapply(mynames, read.delim) Every file contains two columns. > colnames(mydata[[1]]) [1] "Name" "NumReads" > colnames(mydata[[2]]) [1] "Name" "NumReads" I can set the colnames easily enough with a for loop. for (i in

I'm trying to read in a tab separated table with read.delim(). I don't particularly care what the row names are. My data file looks like this: start stop Symbol Insert sequence Clone End Pair FISH 203048 67173930 ABC8-43024000D23 TI:993812543 TI:993834585 255176 87869359 ABC8-43034700N15 TI:995224581 TI:995237913 1022033 1060472

?sink On May 18, 2018 9:47:25 AM PDT, Ed Siefker <ebs15242 at gmail.com> wrote: >I have dose response data analyzed with the package 'drc'. >'summary(mymodel)' prints my kinetic parameters. I want >that text in an ASCII text file. I want to get exactly what I >would get if I copied and pasted from the terminal...

> On Nov 2, 2017, at 9:27 AM, Ed Siefker <ebs15242 at gmail.com> wrote: > > I have a function: > > myplot <- function (X) { > d <- plotCounts(dds2, gene=X, intgroup="condition", returnData=TRUE) > png(paste("img/", X, ".png", sep="")) > ggplot(d, aes(x=con...

I have a function: myplot <- function (X) { d <- plotCounts(dds2, gene=X, intgroup="condition", returnData=TRUE) png(paste("img/", X, ".png", sep="")) ggplot(d, aes(x=condition, y=count, color=condition)) + geom_point(position=position_jitter(w=0.1,h=0)) + scale_y_log10(breaks=c(25,100,400)) + ggtitle(X) +

I have two chromatograms I want plotted on the same axes. I would like the plots to be transparent, so the first chart is not obscured. I have tried adjustcolor(..., alpha.f=0.3), the problem is that my chromatogram is so dense with datapoints that they overlap and the entire graph just ends up a solid color. The second histogram still obscures the first. Consider this example: col1 <-