similar to: Problems raised to 1/3 power and NaN

I was preparing an e-mail for the help list and ran across a quandary. When asking for help it is useful to include the code/data so others can run your code and test it. I was running code on a data frame and wanted to include a small version of the data frame. The data frame was based on experimental data. What is the best way to do this? I didn't want to send an attachment so a wrote code

I am trying to create some plots of concentration versus depth. I want Depth on the Y axis and the concentrations on the X axis. I also need to plot error bars. The xYplot function in Hmisc is very nearly ideal but I have to put depth on the x-axis to get it to work. When I transpose the X and Y axes in the xYplot command, the error bars disappear (no surprise given the help file). It there a

I have searched the archives and instructions high and low but have not found what I need. I have a dataframe named Data with columns: AdjResND0 - the numeric result Parameter - the classification (chemical name) Sort - the order I want the chemical names to appear, with leading zeros so all are the same length Client.Name - the sample name I am trying to generate a series of 1 page barcharts,

I am looking to create what I would call a "simple variation" on the boxplot. What I would like to do is to be able to plot the upper and lower confidence limits as the "box" and the 10th and 90th percentile as the whiskers. What I have done is write the code to create a dataframe, the columns of which are the mean, sd, 10th percentile, 90th percentile, lower confidence limit

I am using lattice to make figures as pdfs: trellis.device(device = "pdf",file = "Figure6.pdf",color = FALSE) I need to specify some blank space on the left-hand margins (the pages will be bound so we need about 0.5 inch)). I have tried a number of solutions but none seems to work (e.g. par.set). Can this be done when initiating the plotting device? Or is the some other way

I have been using the ECDF function in the Hmisc package to produce cumulative distribution function plots. The problem is that for small datasets the steps "look bad" (not my characterization but from the client). Is there a way to get the same information but smoothed? I have tried the densityplot (lattice), which gives a smoothed line, but this does not give the cumulative density.

I'm trying to combine multi-line text and math annotations on a plot and am not having much luck. I looked at various suggestions in the archives, but I cannot coerce any of them to do what I want. I'm beginning (finally?!) to think that there is an entirely better approach than the one I have tried. The essential problem is that line breaks (\n) don't seem to behave the way I

I've looked everywhere and tinkered for three days now, so I figure asking might be good. So here's a general rundown of what I am trying to get my code to do I am giving you the whole rundown because I need a solution that retain certain ways of doing things because they give me the information i need. I want to examine the effect of increasing my sampling interval on my data. Example:

Dear R user, I have written a function which returns max,min and variation of a power (see below) Power is a given matrix(1,n) I call the function >Variation<-VAR(p,(n-deltat)) Now the problem is when I want plot(Results[1],Results[2]). Not possible! I become the following error (in english it means: Error in as.double.default(x) :Object cannot be transformed in double) >

Dear R users, I'm trying to write a function which returns minimum,maximum,mean of a vector(power) I've done the following : VAR<-function(power,length){ for(i in tml:length)){ tvar[i]<-i pmean[i]<-mean(power[i:i+deltat]) pmin[i]<-min(power[i:i+deltat]) pmax[i]<-max(power[i:i+deltat]) varmax[i]<-100*(pmax[i]-pmean[i])/pmean[i]

You have to put the tml in the function and deltat too. like VAR<-function(power,length,deltat,tml){ -----Mensagem original----- De: r-help-bounces em r-project.org [mailto:r-help-bounces em r-project.org]Em nome de mysimbaa Enviada em: sexta-feira, 4 de julho de 2008 11:22 Para: r-help em r-project.org Assunto: [R] initialize a matrix Dear R users, I'm trying to write a function

I have written a few different summary functions. I want to calculate the statistics by groups and I am having trouble getting the output as a dataframe. I have attached one example with a small dataset that calculates summary stats and percentiles, I have others that calculate upper confidence limits etc. I would like the output to be converted to a dataframe with one of the columns as the

I have a question about some strange results I get when using lmer to build a logistic mixed effects model. I have a data set of about 30k points, and I'm trying to do backwards selection to reduce the number of fixed effects in my model. I've got 3 crossed random effects and about 20 or so fixed effects. At a certain point, I get a model (m17) where the fixed effects are like this

I am using R for environmental forensics (determination of the sources and/or groupings in mixtures of organic chemicals in the field). The goal is to determine in there are groups of samples with similar/dissimilar compositions, and to assign samples to a potential source or a mixture of sources based on the composition (unmixing and source allocation). Typically there are 10 to 50 chemicals that

Greetings, I am running a buch of wilcox tests and need to be able to rapidly export the results into a csv file. I have attached example code as well as my attempts to get what I need. I have tried unlist,cbind,rbind etc but I am obvously missing something simple. FYI I am actually running about 50 WRS tests per dataset, this is just an example. Thanks 10^6 Mike AKCCR <-

Dear all, Let's say I have the following: # Loading the boot package # install.packages(boot) library(boot) # Generating data set.seed(123) x <- rnorm(100) # Bootstrap for the sample mean bmean <- boot(x, function(x,d) mean(x[d]), R=1000) bmean # #ORDINARY NONPARAMETRIC BOOTSTRAP # # #Call: #boot(data = x, statistic = function(x, d) mean(x[d]), R = 1000) # # #Bootstrap Statistics : #

Why does the expression "(-8)^(1/3)" return NaN, instead of -2? This is not answered by http://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-are-powers-of-negative-numbers-wrong_003f Thanks, Dave [[alternative HTML version deleted]]

Hi: I have been able to finally crunch my data by importing it by week(thank you all for your help),but here we go again.. Now I'am trying to do it for the the whole year. Since the dataset is huge I'm only making a 3 weeks dataframe. - I want to get the mean of pd by week - I want to count the number of days by week and bind it to the existing dataframe(x) - I want to remove the

I am trying to get the same text printed on each page of a multi-page series of bar charts. The text need to appear in the upper left-hand corner of the page, outside of the plot area. A watermark might be the closest analogy to what I am after This is what I have so far: PData <- na.omit(subset(TData,Matrix == "Product")) barchart(AdjResND0 ~ reorder(Compound, Sort) | Label ,

On Mon, May 08, 2017 at 03:35:19PM +0100, Daniel P. Berrange wrote: >On Sat, May 06, 2017 at 08:09:49PM -0400, Dan wrote: >> On Fri, May 5, 2017 at 4:29 PM, Nicolas Bock <nicolasbock@gmail.com> wrote: >> >> > Hi, >> > >> > I am running a webserver on the libvirt host and would like to add a >> > nwfilter such that a VM can access that