I am trying to copy a file using Julia functions with the hope of manipulating the file and then use that copied version for various tasks in the Julia programming language. Can someone provide some example code of copying a file in Julia?
I guess I could do use read then write but it seems like I would be reinventing the wheel.
Is there a standard library function for this?
Inspired by this question.
Just use the built in function cp(src, dst).
Copy the file, link, or directory from src to dst. force=true will first remove an existing dst.
Afterwards you can open the file and manipulate it. Of course you could also open both source an destination files simultaneously and copy and manipulate it line by line.
Related
I have a script, written in R, that generate a lot of output. I would like to put these outputs into their own directories. Then I would like to create, in R, a directory and then move into it, writing file inside it. Is there a way to approach this?
Use dir.create() function. Link:
https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/files2
I'm no R-programmer (because of the problem I started learning it), I'm using Python, In a forcasting task I got a dataset signalList.rdata of a pheomenen called partial discharge.
I tried some commands to load, open and view, Hardly got a glimps
my_data <- get(load('C:/Users/Zack-PC/Desktop/Study/Data Sets/pdCluster/signalList.Rdata'))
but, since i lack deep knowledge about R, I wanted to convert it into a csv file, or any type that I can deal with in python.
or, explore it and copy-paste manually.
so, i'm asking for any solution whether using R or Python or any tool to get what's in the .rdata file.
Have you managed to load the data successfully into your working environment?
If so, write.csv is the function you are looking for.
If not,
setwd("C:/Users/Zack-PC/Desktop/Study/Data Sets/pdCluster/")
signalList <- load("signalList.Rdata")
write.csv(signalList, "signalList.csv")
should do the trick.
If you would like to remove signalList from your working directory,
rm(signalList)
will accomplish this.
Note: changing your working directory isn't necessary, it just makes it easier to read in a comment I feel. You may also specify another path for saving your csv to within the second argument of write.csv.
I have a few R files that contain functions imported and used by several other R files. I import these functions with the source function. Naturally, the scope of a particular file might change over time, and recently I wanted to rename a file I had already sourced in many other places.
I'm using RStudio, and I have been unable to find a way to do this except for either manually updating each dependent file, or creating some external code to scan through the files.
Is there no way to do consistent renaming in RStudio? Alternatively, am I doing something wrong by using source to add functions?
You may or may not find this satisfactory. Create a parent script with the old name that sources the script with the new name.
Extending this, you could just create a general preamble script, called something like "preamble.R", that sources all general utility scripts you have. Such an approach is common (I believe) with TeX. Then you only have one place to update file names.
While developing a package I encountered the problem of supplementary data import - this has been 'kind of' solved here.
Nevertheless, I need to make use of a function of another package, which needs a path to the used file. Sadly, using GlobalEnvironment variables here is not an option.
[By the way: the file needs to be .txt, while supplementary data should be .RData. The function is quite picky.]
So I need to know how to get the path supplementary data file of a package. Is this even possible to do?
I had the idea of reading the .RData into the global environment and then saving it into a tmpfile for further processing. I would really like to know a clean way - the supplementary data is ~100MB large...
Thank you very much!
Use system.file() to reliably find the path to the installed package and sub-directories, typically these are created in your-pkg-source/inst/extdata/your-file.txt and then referenced as
system.file(package="your-pkg", "extdata", "your-file.txt")
Plain and simple: is there a way to read (not run) .sas files on osx in order to rewrite old SAS programs in another language, e.g. R? Note I do not refer to reading sas data files – I know there are several ways, I am just interested in reading old SAS code.
.sas files containing SAS code should just be a text file. You can use any text editor that you like to open and modify these files. Since the system probably doesn't have .sas files associated with any particular program you can either use the "Open with" option when "right-clicking" on the file or you could open the editor first and then open the file from within the editor.
TextEdit will work. Another editor that I like is Komodo Edit.