All testing is done using secure computers. Once they register for a PANCE session, graduates report to one of any number of regional testing centers to take the exam. Many take the national test-the PANCE, or Physician Assistant National Certification Exam-right out of PA school, others in the months that follow graduation. In the United States, the certifying body is NCCPA-the National Commission on Certification of Physician Assistants. R studio will continue to access the package dependenciesįor each script you open within the R studio session.A ll graduates of physician assistant training programs must pass a certification exam before they can practice in their new profession. Steps, it is not necessary to re-load the package library for each This will indicate R studio is accessing the saved packageĮxecute the R code, which will utilize the project package library.Īfter the package library has been loaded using the above (The package library should correspond to that listed below. Navigate to the subfolder ‘cold_folder’ Step 7 Please note that this step may take 5-15 minutes to run.) Step 5 (This will create a subfolder ‘code_folder’. Save unbundle.R in the same directory as the tar file Step 3 Tar file to a new directory, which should not be a the sameĭirectory as the expanded tar file, or a subdirectory of If the tar file has already been expanded, re-save the Problems with accessing the saved package dependenciesĪre more likely when a program other than R or R studio Save, but do not expand/unzip, the tar file to a directory. In the example below 'code_folder' refers to a folder within the tar.gz file that contains R.
PACKRAT SCORING CODE
The readme file tells users about requirements (R, R studio, packrat, R package development prerequisites (Rtools for Windows, XCode for Mac)), and includes output of sessionInfo() to document R package versions that the R code should use after instructions are followed. The readme file includes instructions similar to those below, and so far users have been able to run R code using the package dependencies. The packrat library, and the unbundle command for the tar.gz file) unbundle.R (R code file that includes a library statement to load I have provided users with three files: -tar.gz (packrat bundle file) So, can someone please provide clear step-by-step instructions for how users of a bundled snapshot should unbundle, and then use that saved snapshot to run a R code file?Īfter some experimenting, I found an approach that seems to have worked so far. The packrat page ( ) and CRAN provide very little documentation about unbundling to help troubleshoot this, or that I could point users of my code to for instructions (who likely will be familiar with R, but may not have used packrat). It seems like init() should not be necessary because I am not trying to create a new snapshot, but rather utilize the one in the bundle. But subsequently calling packrat::restore() gave me the error "This project has not yet been packified. I then called packrat::unbundle(bundle = "directory", where = "directory"), which unbundled successfully. I opened an R code file in R studio, and called library(packrat) to load packrat (also v 0.4.8-1). I tested unbundling using a different computer from the one I used to write R code and create the bundle. I want to provide the R code and packrat bundle to others to make the work I am doing (including the R environment) fully reproducible. I used packrat (v 0.4.8.-1) to to create a snapshot and bundle of the R package dependencies that go along with the corresponding R code.
0 kommentar(er)
