#How to install package in r by url how to

PkgList <- pkgDep(pkgs, repos=revolution, type='source' ) Pkgs <- c('stringr', 'devtools', 'ggplot2', 'dplyr', 'tidyr', 'rmarkdown', 'knitr', 'reshape2', 'gdata') This is what I've tried: library('miniCRAN')

#How to install package in r by url how to

Loaded via a namespace (and not attached):Д®DIT following Andrie's helpful comment, I've had a go with miniCRAN, the bit that's missing from the vignette is how to actually install the packages from the local repo. Here's my current method to obtain the packages, their dependencies, and get them in the correct order: # find the dependencies for the packages I want How can I get the dependencies to be installed in order, before the packages that needs them? I want to install all of these on other computers using as USB stick, but the install fails for some packages because the dependencies are not installing before the packages. It does not change the size of an input variable and returns the transformed data.I've got the source files for a bunch of packages and their dependencies that I want to install on computers that have no internet access. R map() is an FP function used to apply a specific function to all the vector or list elements. It returns the transformed list of the same size as an input list. To apply the same operations on all the list elements, use the map() function. logical -> integer -> double -> character. f will be automatically typed upwards, for example. These functions are also required to install dplyr.

The map_dfr() and map_dfc() functions return a data frame created by row-binding and column-binding respectively. The map_chr() function returns a character vector.

The map_dbl() function returns a double vector. The map_int() function returns an integer vector. The map_lgl() function returns a logical vector, The map_if() function is used to apply a function to only those items of the. There are many variants of the map() functions available in R.ДЄll the map variant functions return a vector the same length as an input.

You can see that the map() function applies +1 to every vector element, and it does not modify the length of the vector. In the next step, we define a vector, and then we are incrementing each vector value by 1 using the map() function. First, we are importing the purrr package using the library() statement.