‘rlang’, ‘rmarkdown’ are not available for package ‘reprex’ * removing ‘/home/joshua/R/x86_64-pc-linux-gnu-library/4.3/reprex’ ERROR: dependencies ‘cli’, ‘dplyr’, ‘glue’, ‘lifecycle’, ‘magrittr’, ‘purrr’, ‘rlang’, ‘stringr’, ‘tibble’, ‘tidyselect’, ...
Search for the package name dplyr in that list, and click on the link.Note the following details on the CRAN page of dplyr.Depends shows the minimum version of R that this package will work on. Imports show the packages that dplyr depends on. dplyr will get R to install them if we ...
R语言使用search函数查看当前工作空间中引入的R包列表( packages currently loaded in workspace) > search() [1] ".GlobalEnv" "package:palmerpenguins" [3] "package:forcats" "package:stringr" [5] "package:dplyr" "package:purrr" [7] "package:readr" "package:tidyr" [9] "package:tibble" ...
R/win-library/3.5’ (as ‘lib’ is unspecified) ERROR: dependencies 'assertthat', 'base64enc', 'broom', 'config', 'DBI', 'dplyr', 'dbplyr', 'digest', 'httr', 'jsonlite', 'lazyeval', 'openssl', 'r2d3', 'rappdirs', 'rlang', 'rprojroot', 'rstudioapi', '...
I've started a fresh Positron project using R 4.1.1. After successfully installing {renv}, I'm able to callrenv::install()on most R packages without any issues. renv::install("dplyr")## Downloading packages ---#- Downloading cli from CRAN ... OK [554.8 Kb in 0.28s]#- Downloading ...
─────────────────── tidyverse_conflicts() ──#> ✖ dplyr::filter() masks stats::filter()#> ✖ dplyr::lag() masks stats::lag()#> ✖ MASS::select() masks dplyr::select()#> ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force ...
>>> ggthemes_4.2.0 ggrepel_0.8.2 dplyr_0.8.5 ggplot2_3.3.0 >>> >>> loaded via a namespace (and not attached): [1] >>> zoo_1.8-8 tidyselect_1.0.0 purrr_0.3.4 >>> reshape2_1.4.4 haven_2.2.0 [6] lattice_0.20-41
A subset of the included packages: ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, forcats and many other packages with more specialized usage. They are not loaded automatically with library(tidyverse), so you’ll need to load each one with its own call to library(). ...
R packages are collections of functions and data sets developed by the community. They increase the power of R by improving existing base R functionalities, or by adding new ones. For example, if you are usually working with data frames, probably you will have heard about dplyr or data.table...
TheTidyverseprovides a set of packages that augment R capabilities and share an underlying design concept. A remarkable example isdplyr, a package that really simplifies data manipulation. Just as an example it provides, among other functions and capabilities,group_byandsummarisefunctions to perform op...