similar to: Get previous R digest volumes/issues

I have a reshaped data frame with value column headings concatenated from two column headings in the melted data frame. I want to change all 56 headings in a single command, but 'names' allows me to change only one at a time. In Hadley's 2007 article on reshape in the Journal of Statistical Software he mentions a 'rename' function, but I cannot find that. Is there a way to

I have a data frame called chemdata with this structure: > str(chemdata) 'data.frame': 14886 obs. of 4 variables: $ site : Factor w/ 148 levels "BC-0.5","BC-1",..: 104 145 126 115 114 128 124 2 3 3 ... $ sampdate: Date, format: "1996-12-27" "1996-08-22" ... $ param : Factor w/ 8 levels "As","Ca","Cl",..:

I need to understand how and why dcast() adds NAs to a data frame that contained no missing values. The database table of chemical concentrations has all missing values removed because they cannot contribute to data analyses. The structure of the R data frame of these data have no NA values, and neither does the data frame resulting from applying the reshape2 melt() function to it. However,

I've looked at the lattice book and the 'R Graphics Cookbook' without seeing how to change the labels along the x axis for groups in a box plot, specifically cenbox(). The attached example has a main and axes labels with default group labels. Please point me to a reference on how I can change 'FALSE' and 'TRUE' to something more easily understood by viewers. TIA,

The bio.infer package contains a data frame /usr/lib/R/library/bio.infer/data/itis.ttable.rda that needs to be modified. After loading the bio.infer package and attaching the data frame with the data() function, I wrote the data frame to a text file. After adding another row to the data frame I applied read.table() to create a data frame, but it's in my pwd, not the R library data

I have water chemistry data with censored values (i.e., those less than reporting levels) in a data frame with a narrow (i.e., database table) format. The structure is: $ site : Factor w/ 64 levels "D-1","D-2","D-3",..: 1 1 1 1 1 1 1 1 ... $ sampdate: Date, format: "2007-12-12" "2007-12-12" ... $ preeq0 : logi TRUE TRUE TRUE TRUE TRUE

Hello R user, I have a data set from a longitudinal study ( sample below) where subjects are followed over time. Second column (status) contains info about if subject is dead or still in the study and third column is time measured in the week. Here is what I need: if status is not dead or unknown take the last week, if status is dead or unknown I need to have corresponding week. Desired resulst:

One set of data has censored (less-than detection limits) water chemistry concentrations for 80-100% of all observations. My initial trial-and-error attempts to apply the cenboxplot() method suggests that it has an upper limit to the percentage of censored observations. I do not see this limit in Dennis Helsel's second edition. Has anyone experience plotting censored data and can provide

One of many scripts to produce 4 lattice plots on one page keeps throwing an error. I've tried manipulating the file to eliminate the error, but have not been able to do so. The error is: > source('bicarb.R') Error in source("bicarb.R") : bicarb.R:15:1: unexpected symbol 14: 15: hco33 ^ The 'h' is in column 0 so the caret would be column -1, but it's

Hi Albrecht, I am forwarding your reply to the full group. It's been a while since I did this and I don't remember the details. Maybe someone else can comment. (I am a bit busy at the moment.) If no one supplies the information in a few days I will try to take a look. In the meantime you can start your reading on-line. :-) Regards, Eric Dear Eric, I downloaded the material from

I just upgraded from 2.14 to 2.15 and have run into an issue upgrading libraries that I've not had in previous version upgrades. For example, trying to install reshape2 for 2.15 throws errors and I don't see what to change to over come the problem: > install.packages("reshape2") Installing package(s) into ?/home/rshepard/R/i486-slackware-linux-gnu-library/2.15? (as ?lib? is

The sample data sets that come with the NADA package are limited to one or two variables and a censored measurement indicator column. I try to mimic examples using my data but keep missing the target. My water chemistry data is available in two formats: long (as seen in a database table) and wide (as seen in a spreadsheet). The two structures are: str(chem) 'data.frame': 65349 obs. of

On Tue, 13 Mar 2018, Mark Leeds wrote: > See Hadley's advanced R +1 A very well writte, highly useful book. Recommended. Rich

I want to create individual data.frames for each of the 8 param factors in chemdata. The syntax I tried (based on Teetor's book, page 132) and R's response are: > ars <- subset(chemdata, select=c(site,sampdate,param,quant), subset=(param = "As")) Error in subset.data.frame(chemdata, select = c(site, sampdate, param, : 'subset' must evaluate to logical

I need to generate 6 x-y scatter plots (lattice xyplot) for each of 11 data frames. I'm sure the tedium of doing these one at a time can be avoided by writing a script that uses nested for loops or the apply() function. My Web search has not provided me with a tutorial on R programming that will introduce me to the language and allow me to write such a script. Please provide pointers to

All but one of the summaries of multiple linear regressions in this analysis set present the residuals by min, 1Q, median, 3Q, and max. Example: lm(formula = TDS ~ Cond + Ca + Cl + Mg + Na + SO4, data = snow.cast) Residuals: Min 1Q Median 3Q Max -277.351 -32.551 -2.621 40.812 245.272 The one that doesn't has only a small number of rows (23) and presents the

Running 2.15.0 on Slackware-13.1 with all packages in /usr/lib/R/library. Package reshape2 is in the library but there are no vignettes seen by R. If this is the result of something I did incorrectly, please point out how to install the vignettes with the package. I can get help for melt and cast but no reference on how to access the vignettes. Pointer appreciated, Rich

I just upgraded from 2.15.2 to 2.15.3 on our Slackware systems and see the following when testing that the new version properly loads: "The following object(s) are masked from 'package:stats': cor "The following object(s) are masked from 'package:base': as.Date, as.Date.numeric" What, exactly, does this mean? Also, I assume that if I see no errors

I've been building R versions for years with no issues. Now I'm trying to build R-4.3.3 on Slackware64-15.0 (fully patched) with TeXLive2024 (fully patched) installed. The error occurs building a vignette. Is this mail list the appropriate place to ask for help or should I post the request on stackoverflow.com? TIA, Rich

On Mon, 8 Apr 2024, Ivan Krylov wrote: > Questions about building R do get asked here and R-devel. Since you're > compiling a released version of R and we don't have an R-SIG-Slackware > mailing list, R-help sounds like the right place. Ivan, Okay: > What are the last lines of the build log, containing the error message? If > it's a LaTeX error, it may be that you