What is PLYR package in R?
plyr is an R package that makes it simple to split data apart, do stuff to it, and mash it back together. This is a common data-manipulation step. Importantly, plyr makes it easy to control the input and output data format from a syntactically consistent set of functions.
How import PLYR package in R?
Install and Load plyr Use the install. package() to install the package. Then use either the library() or requires() functions to load the package. Alternatively, in RStudio click on the Packages tab in the lower-right window, and then the Install button on the left-hand side just below the tabs.
What is the difference between PLYR and Dplyr?
dplyr is the next iteration of plyr , focussing on only data frames. dplyr is faster, has a more consistent API and should be easier to use. Tabular data is tabular data regardless of where it lives, so you should use the same functions to work with it.
How do I install a package in R?
Open R via your preferred method (icon on desktop, Start Menu, dock, etc.) Click “Packages” in the top menu then click “Install package(s)”. Choose a mirror that is closest to your geographical location. Now you get to choose which packages you want to install.
What is reshape2 package in R?
reshape2 is an R package written by Hadley Wickham that makes it easy to transform data between wide and long formats.
What does data frame do in R?
The function data. frame() creates data frames, tightly coupled collections of variables which share many of the properties of matrices and of lists, used as the fundamental data structure by most of R’s modeling software.
Why do we use dplyr in R?
dplyr is a package for making data manipulation easier. Packages in R are basically sets of additional functions that let you do more stuff in R. The functions we’ve been using, like str() , come built into R; packages give you access to more functions.
What %>% means in R?
%>% is called the forward pipe operator in R. It provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. It is defined by the package magrittr (CRAN) and is heavily used by dplyr (CRAN).
How do I install multiple packages in R?
You can install multiple packages by passing a vector of package names to the function, for example, install. packages(c(“dplyr”, “stringr”)) . That function will install the requested packages, along with any of their non-optional dependencies.
What is an R package and why are R packages useful?
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.
How do I replace NAs with 0 in R?
To replace NA with 0 in an R data frame, use is.na() function and then select all those values with NA and assign them to 0. myDataframe is the data frame in which you would like replace all NAs with 0.
What package is melt in R?
The melt function is to be found in the reshape package. If you do not have that package installed, then you will need to install it with install. packages(“reshape”) before you can use it. Then, when the package is installed, make it available with library(reshape) .