I am fairly new to R and will try my best to make myself understood. Suppose if I have an existing rdata file with multiple objects. Now I want to add a data frame to it how do i do that? I tried the following:
write.data.loc <- 'users/Jim/Objects'
rdataPath <- 'users/Jim/Objects.Rda'
myFile<- read.csv("myFile.csv")
loadObjects <- load(rdataPath)
save(loadObjects,myFile,file=paste(write.data.loc,".Rda",sep=""))
But this does not seem to work?
I'm not certain of your actual use-case, but if you must "append" a new object to an rda
file, here is one method. This tries to be clever by load
ing all of the objects from the rda
file into a new environment
(there are many tutorials and guides that discuss the use and relevance of environments, Hadley's "Advanced R" is one that does a good job, I think).
This first step loads all of the objects into a new (empty) environment. It's useful to use an otherwise-empty environment so that we can get all of the objects from it rather easily using ls
.
e <- new.env(parent = emptyenv())
load("path/to/.rda", envir = e)
The object you want to add should be loaded into a variable within the environment. Note that the dollar-sign access looks the same as list
s, which makes it both (1) easy to confuse the two, and (2) easy to understand the named indexing that $
provides.
e$myFile <- read.csv("yourFile.csv")
This last piece, re-saving the rda
file, is an indirect method. The ls(envir = e)
returns the variable names of all objects within the environment. This is good, because save
can deal with objects or with their names.
do.call("save", c(ls(envir = e), list(envir = e, file = "newsave.rda")))
Realize that this is not technically appending the data.frame to the rda
file, it's over-writing the rda
file with a new one that happens to contain all the previous objects and the new one data.frame.
I wrote this solution that can add dataframes, list, matrices or lists. By default it will overwrite an existing object but can be reversed with overwrite=TRUE
.
add_object_to_rda <- function(obj, rda_file, overwrite = FALSE) {
.dummy <- NULL
if (!file.exists(rda_file)) save(.dummy, file = rda_file)
old_e <- new.env()
new_e <- new.env()
load(file = rda_file, envir = old_e)
name_obj <- deparse(substitute(obj)) # get the name of the object
# new_e[[name_obj]] <- get(name_obj) # use this only outside a function
new_e[[name_obj]] <- obj
# merge object from old environment with the new environment
# ls(old_e) is a character vector of the object names
if (overwrite) {
# the old variables take precedence over the new ones
invisible(sapply(ls(new_e), function(x)
assign(x, get(x, envir = new_e), envir = old_e)))
# And finally we save the variables in the environment
save(list = ls(old_e), file = rda_file, envir = old_e)
}
else {
invisible(sapply(ls(old_e), function(x)
assign(x, get(x, envir = old_e), envir = new_e)))
# And finally we save the variables in the environment
save(list = ls(new_e), file = rda_file, envir = new_e)
}
}
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.