xfun | Miscellaneous R functions | Development Tools library
kandi X-RAY | xfun Summary
kandi X-RAY | xfun Summary
This package contains several utility functions that I frequently use in other packages, and also miscellaneous functions that I use by myself from time to time. For more information, see
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QUESTION
The objective of my code is to scrape the information in the Characteristics tab of the following url, preferably as a data frame
...ANSWER
Answered 2021-Jun-11 at 15:38The data is dynamically retrieved from an API call. You can retrieve direct from that url and simplify the json returned to get a dataframe:
QUESTION
I just noticed that read_csv()
somehow uses random numbers which is unexpected (at least to me). The corresponding base R function read.csv()
does not do that. So, what does read_csv()
use the random numbers for? I looked into the documentation but could not find a clear answer to that. Are the random numbers related to the guess_max
argument?
ANSWER
Answered 2021-Jun-10 at 19:21tl;dr somewhere deep in the guts of the cli
package (called to generate the pretty-printed output about column types), the code is generating a random string to use as a label.
A major clue is that
QUESTION
I would like to extract the github repo url for all the packages on CRAN. And I have tried to first read the link of CRAN and get the table of all the package names, which also contains the url for the description page of each package, for I want to extract the github repo url through the description page. But I can't get the completed url. Could you please help me with this? Or is there any better way to get the repo url for all packages?
This is my supplementary :
Actually, I want to filter the pkgs that do have a official github repo, like some pkgs as xfun or fddm. And I found I can extract the username and repo name from the description of pkgs on CRAN, and put them in a github formatted url. (for most of them have the same format url like : https://github.com/{username}/{reponame}. For example, for package xfun
, it would be like : https://github.com/yihui/xfun.
And now, I have get some of them like : (three of them)
And I am wondering how could I get the url for all of them. I know use glue pkg can replace the elements in a url. and for get the url by replacing elements (username and reponame) I have tried map() and map_dfr() function. But it returns me error : Error in parse_url(url) : length(url) == 1 is not TRUE
Here is my code :
...ANSWER
Answered 2021-May-25 at 16:26I want to suggest a different method for getting where you want.
As discussed in the comments, not all R packages have public GitHub repos.
Here is a version of some code from an answer to another question by Dirk Eddelbuettel that retrieves information from CRAN's database, including the package name and the URL field. If a package has a public GH repo, it is very likely that the authors have included that information in the URL field: there may be a few packages where the GH repo information is guessable (i.e. the GH user name is the same as (e.g.) the identifier in the maintainer's e-mail address; the GH repo name is the same as the package name), but it seems like a lot of work to do all that guessing (and accessing GitHub to see if the guess was correct) for a relatively low return.
QUESTION
A warning message
...ANSWER
Answered 2021-Mar-16 at 04:43You need to tell R where to find ghostscript. For Windows, download ghostscript from http://ghostscript.com/download/gsdnld.html After installing ghostscript, we still need to tell R where to find ghostscript. To do so, it is necessary to set adapt your system’s Path variable: Go to Control Panel → System and Security → System → Advanced System Settings → computer name, domain and workgroup settings → Advanced → Environment Variables Find the Path variable within System Variables, select it and click on edit. Add C:\Program Files\gs\gs9.23\bin (or the directory where you installed ghostscript to) to the Path variable. In Windows 10, you can do this by clicking on New and entering the path. In other Windows versions, just append the path to the variable value, seperated by a semicolon. Restart R For MacOS, download and install the Ghostscript 9.23 package from http://pages.uoregon.edu/koch/ Restart R
I found the solution from this website https://rnbeads.org/data/installing_rnbeads.html
QUESTION
The problem posed by the user @spore234 appears to be solved: sas7bdat date format to R date format
I, too, uploaded a .sas7bdat
file, and I got numbers instead of dates. Unlike @spore234, the use of as.Date(..., origin = "1970-01-01")
is not correct but using `as.POSIXct(..., origin = "1970-01-01") gives the right date but not the right time. It is the reverse of the findings from 5 years ago.
To avoid confusion, I opened up a new issue.
...ANSWER
Answered 2021-May-12 at 00:41The timezone offset is causing the issue I think. Try
QUESTION
When I knit any of the CV templates in the R package vitae I get a slightly different error for each one. I've made sure that all the files, including my Rmd file, are in the same directory and I haven't changed the template in any way. When I knit the modern CV template, for example, I get this error message:
...ANSWER
Answered 2021-May-04 at 02:32A combination of reinstalling R Studio after uninstalling MikTex, and finally installing the R package tinytex worked.
I think @samcarter_is_at_topanswers.xyz was right that "the problem was an outdated latex version. utf8 became the default encoding some time ago, but if your tex version was older then such special characters would cause problems. "
Lessons learned:
The tinytex package is all you need for R Markdown. You can even open tex files in R Studio to edit and compile them to pdf. See how to install it here.
Update MikTex frequently. I assumed that it automatically updated when needed, but that seems not to be true. Windows > MikTex > Update. It's that simple. Remembering to do it is another thing if you decide to use it.
Being able to check that the environment paths are all there and are pointing to the right directory didn't help in this case, but it was good to learn. This link was helpful.
QUESTION
The example below is a simple one which tries to assert the column y is always positive (y>0). How can I extract the errored data (row 3 with the negative value,into a dataframe maybe, or any convenient object) while allowing the workflow to continue with "cleaned" data?
...ANSWER
Answered 2021-Apr-12 at 09:23This is tricky, and the answer below doesn't solve this 100%. Now there are a number of different ways assertr lets you handle errors/stops, just see ?error_stop (which is the default).
You need to not only filter out rows that fail, but also collect them (all) for later inspection.
Below I wrote my own error handler. It fetches those rows that fail, filter them away, and stores them in the global environment under the varibale my.failed.rows
.
QUESTION
I've recently installed R version 4.0.5 (2021-03-31) onto Ubuntu 20.04.2 LTS. R is working as expected.
However, while some packages have installed without issue (e.g., R.matlab
), there are several packages that have not been able to install. As as example, running install.packages("data.table")
throws the following error:
ANSWER
Answered 2021-Apr-22 at 01:09In case others also run into this issue in the future, I am posting the solution that was suggested to me by https://answers.launchpad.net/ubuntu. Here is the link to the question I posted: https://answers.launchpad.net/ubuntu/+question/696623.
The issue turned out to be that R was using gcc-9 rather than gcc-10 to compile packages. The older version of gcc was throwing an error. Here are the steps I took to solve the problem:
- Install gcc-10, which was not available on my system:
sudo apt install gcc-10
. - Edit the CC= pointer in the
/usr/lib/R/etc/Makeconf
file to gcc-10: open Terminal, typesudo nano /usr/lib/R/etc/Makeconf
and replace the currentCC=
toCC=gcc-10
. Save the file. - Restart R and run the
install.packages()
command for those packages that were not compiling correctly.
EDIT: Please see the comments below for a discussion. The above steps resolve the issue, but are not recommended. The issue was related to R not using the system package manager to install packages when the call install.packages()
was used in R.
Installing the package bspm
solved the issue for me. This package and its utility is discussed here for those who are curious.
To use install.packages()
within R, bspm
can be used in two ways:
bspm::enable()
within R and theninstall.packages()
- As written in its documentation: To enable
bspm
system-wide by default, include the following:suppressMessages(bspm::enable())
into theRprofile.site
file.
Thanks very much to Dirk for his guidance.
QUESTION
I have the following Rmarkdown code for COVID 19 here:
...ANSWER
Answered 2021-Apr-07 at 04:16I did got a similar error while troubleshooting.
This was resolved by individually running each command/chunk until it completes, I did have intermittent execution issues, sometimes I got errors, sometimes it ran successfully, I just reran it until it completed.
To better help me understand, What does your YAML look like? And how exactly are you building the book? is it a gitbook?
The way I found a solution was with a little bit of bookdown understanding. I had 2 files, the index.Rmd
and the 01-covid19.Rmd
the index.Rmd
is empty and only has YAML for the book. in the 01-covid19.Rmd
I pasted your code
index.Rmd
QUESTION
Description
This issue appears to apply to vectorised and loop approaches to renaming several files. Vectorised approach used in reprex below. The bug only seems to present when filenames do not contain meaningful or alphanumeric strings.
Summary
Existing files prior to file.rename:
"1.R" "2.R" "3.R" "4.R" "5.R".
Existing files following file.rename:
"6.R".
Expected output:
"2.R" "3.R" "4.R" "5.R" "6.R"
Reprex
...ANSWER
Answered 2021-Mar-20 at 09:03Is 6.R actually the content of 1.R?
I think you are seeing 1.R renamed to 2.R and over-writing 2.R in the process. The new 2.R to 3.R etc.
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