How to deal with: Error: could not find function "read_csv" - r

Question

I installed the package readr and tried to upload a .csv file in Rstudio.
When I try to load this package I get the following error:
> library(readr)
Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()),
versionCheck = vI[[j]]) : there is no package called ‘hms’ In addition:
Warning message: Paket ‘readr’ wurde unter R Version 3.2.5 erstellt
Error: Laden von Paket oder Namensraum für ‘readr’ fehlgeschlagen
When I try to upload the .csv file in R I get the error:
> dataX<-read_csv("file.csv")
Error: could not find function "read_csv"
The result of sessionInfo() is:
> sessionInfo()
R version 3.2.2 (2015-08-14)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
locale:
[1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=German_Germany.1252 LC_NUMERIC=C
[5] LC_TIME=German_Germany.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] colorspace_1.3-2 scales_0.4.1 R6_2.2.2 lazyeval_0.2.0 plyr_1.8.4
[6] tools_3.2.2 gtable_0.2.0 tibble_1.3.0 Rcpp_0.12.10 ggplot2_2.2.1
[11] grid_3.2.2 munsell_0.4.3
I will appreciate your help. Thanks.

Answer 1

Ok, I was able to duplicate the problem on Windows. How and Why?
Resolution - Install R3.4.4
How
Install R3.4.4
Install Rtools3.4.
Launch R
> install.packages("readr")
Why?
The issue here (appears to be) that readr and the TidyVerse packages require later versions of R than R3.2.2. and the WIndows Rtools you have. I was able to duplicate the issue described by installing R3.2.2 and RTools3.2 and then trying to instal readr.
I did not encounter the error on installation of R3.4.4.
Background on Upgrading R on Windows:
You can install multiple versions of R (Base environment) and R Tools (Development environment) on Windows. My personal recommendation is to uninstall R, install the new versions of R, then install the latest R Tools and copy over the libraries per Windows faq below.
R Windows FAQ
2.8 What’s the best way to upgrade?
That’s a matter of taste. For most people the best thing to do is to uninstall R (see the previous Q), install the new version, copy any installed packages to the library folder in the new installation, run update.packages(checkBuilt=TRUE, ask=FALSE) in the new R and then delete anything left of the old installation. Different versions of R are quite deliberately installed in parallel folders so you can keep old versions around if you wish.
For those with a personal library (folder R\win-library\x.y of your home directory, R\win64-library\x.y on 64-bit builds), you will need to update that too when the minor version of R changes (e.g. from 3.0.2 to 3.1.0). A simple way to do so is to copy (say) R\win-library\3.0 to R\win-library\3.1 before running update.packages(checkBuilt=TRUE, ask=FALSE).

Answer 2

I too had the similar problem and re-installing package "tidyverse" did the trick for me while I was already on 3.4.4 version of R.

Answer 3

For me, it was loading tidyverse into the environment that did the trick. Load both tidyverse and dplyr