similar to: Package warnings

Hi, I have two .rda files that I need to include in a package. I've placed them both in a data directory after save() the are around 150Kb each. When I try to check the package I get the following warning Warning: large data file(s) saved inefficiently: size ASCII compress zagoskin.rda 137Kb FALSE none Note: significantly better compression could be obtained

Hello, That is my first post here and I'd like to thanks everybody in advance. I am writing a package with some R functions and try to submit it to CRAN. After build and check the package a number of times, I am struggling with the fact that the CRAN people responsible for checking packages are replying me with some mistakes that I just do NOT get when I do the check in my computer. With the

I've read the help and the archives on tryCatch but I'm still stuggling trying to understand how it works exactly and how I can use it to get the result I need. I have a data.frame of urls which point to 11 .zip files. Basically I use RCurl to get the list of files from a ftp and then reduce that directory dump to the 11 zip files I want to download. Its easy enough to do that in a loop

I have date data as a numeric and hourly data in 0 to 2300 hours in a dataframe. d <- rep(20110101,24) h <- seq(from = 0, to = 2300, by = 100) df <- data.frame(LST_DATE = d, LST_TIME = h, data = rnorm(24, 0, 1)) S <- chron(dates. = as.character(df$LST_DATE), times. = paste(as.character(df$LST_TIME/100), ":0:0", sep = ""), format =

I have a 43MB dataframe ( 5 variables) and I'm trying to summarize subsets of the data. I've RTFM ( not very clear) and looked at a variety of samples but cant seem to figure out how to make these functions work. A sample of what I want to do would be this: ids<-seq(1,50) years<-c(rep(5,10),rep(6,10),rep(7,10),rep(8,20))

Hi, I think I've found a bug in R CMD INSTALL. When it tries to parse a DESCRIPTION file with an invalid LazyData field, it errors out while trying to print the correct error message: > R CMD INSTALL . * installing to library ?/home/example/R/x86_64-pc-linux-gnu-library/3.4? * installing *source* package ?samplepackage? ... ** data Error in errmsg("invalid value of ", field,

Hi the list I have package foo0 with a big dataset 'myData'. In DESCRIPTION, if I use 'LazyData: no', then I get: - when I open a R session : memory used=20 908 - when I attach 'library(foo0)' : memory used=24364 - then I load the set 'data(myData)' : memory used=39 668 If I use LazyData: yes', then I get - when I open a R session : memory used=20 908

Hello, All: If I use LazyData with the Ecdat package on R-Forge, "R CMD check" reports "no visible binding for global variable 'nonEnglishNames'", where 'nonEnglishNames' is a dataset in Ecdat used as the default argument for a function. With LazyData, that NOTE disappears. However, then I get, "Warning: objects 'Hstarts',

Hi, In the DESCRIPTION file the ByteCompile and LazyLoading arguments appear to accept any value. >From the manual the field should be a "logical field". However, authors interpret this in a variety of ways: unique(tools::CRAN_package_db()$ByteCompile) # [1] NA "TRUE" "yes" "true" "Yes" "no" #

I added a new data file, NLSY.RData, to a package that uses LazyData: Yes It passed R CRAN check and R CMD install worked w/o significant complaints. * installing to library 'C:/R/R-2.15.2/library' * installing *source* package 'heplots' ... ** R ** data ** moving datasets to lazyload DB ** demo ** inst ** preparing package for lazy loading Warning: package 'nnet' was

Dear developeRs, I've searched the documentation, FAQ, and mailing lists, but haven't found the answer(*) to the following: When should one specify LazyLoad, LazyData, and ZipData? And what is the default if they are left unspecified? (*)Except that 1) If the package you are writing uses the methods package, specify LazyLoad: yes, and 2) The optional ZipData field controls whether the

Given a matrix of MxN want to take the means of rows in the following fashion m<-matrix(seq(1,80),ncol=20, nrow=4) result<-matrix(NA,nrow=4,ncol=20/5) result[,1]<-apply(m[,1:5],1,mean) result[,2]<-apply(m[,6:10],1,mean) result[,3]<-apply(m[,11:15],1,mean) result[,4]<-apply(m[,16:20],1,mean) result [,1] [,2] [,3] [,4] [1,] 9 29 49 69 [2,] 10 30 50 70

This is rw2010 from CRAN. When running Rcmd check on a package I get: Warning in utils::data(list = al, envir = data_env) : data set 'vowel.test' not found Warning in utils::data(list = al, envir = data_env) : data set 'vowel.train' not found Warning in utils::data(list = al, envir = data_env) : data set 'waveform.test' not found Warning in utils::data(list

This is rw2010 from CRAN. When running Rcmd check on a package I get: Warning in utils::data(list = al, envir = data_env) : data set 'vowel.test' not found Warning in utils::data(list = al, envir = data_env) : data set 'vowel.train' not found Warning in utils::data(list = al, envir = data_env) : data set 'waveform.test' not found Warning in utils::data(list

Dear list members, I'm trying to use the lazy data mechanism with the car package, so far without success. The data sets are in the source package's data subdirectory in the form of compressed .rda files, and I added the directive LazyData: yes to the package's DESCRIPTION file. I suspect that the problem is that the package has no namespace, but I've been unable to find a

The situation arises where I open a file to write a data.frame to it. with write.table. multiple lines are written to the file and the file is kept in Append=TRUE mode. If one sets the col.names to the names of the variables being written, you have output that looks like this... name1 name2 name3..... x x x x x x x x x name1 name2 name

Hi, I'm really struggling with barplot I have a data.frame with 3 columns. The first column represents an "incident" type The second column represents a "month" The third column represents a "time" Code for a sample data.frame incidents <- rep(c('a','b','d','e'), each =25) months <- rep(c(1,2), each =10) times

there are really two related problems here I have a 2D matrix A <- matrix(1:100,nrow=20,ncol =5) S <- matrix(1:10,nrow=2,ncol =5) #I want to subtract S from A. so that S would be subtracted from the first 2 rows of #A, then the next two rows and so on. #I have a the same problem with a 3D array # where I want to subtract Q for every layer (1-10) in Z # I thought I solved this one

Getting a very strange error with a new install of R from source on x86; make[3]: Leaving directory `/tmp/R.INSTALL.r20887/cluster/src' ** R ** data ** moving datasets to lazyload DB Error in factor(c(1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1), : invalid labels; length 2 should be 1 or 1 Execution halted ERROR: lazydata failed for package 'cluster' ** Removing

I have submitted a tiny new package to CRAN, lazyData. This has a single function requireData which is designed as a drop-in replacement for base::require. In addition to doing the same job as base::require, it supplies a LazyData facility for those packages which have data but do not provide LazyData. The call is the same as for base::require but with an additional side-effects. After the