What is reshape package in R?

reshape2 is an R package written by Hadley Wickham that makes it easy to transform data between wide and long formats.

How do I install reshape in R?


  1. Get the released version from cran: install.packages(“reshape2”)
  2. Get the dev version from github: devtools::install_github(“hadley/reshape”)

How does reshape work in R?

Data Reshaping in R is something like arranged rows and columns in your own way to use it as per your requirements, mostly data is taken as a data frame format in R to do data processing using functions like ‘rbind()’, ‘cbind()’, etc. In this process, you reshape or re-organize the data into rows and columns.

How do you Dcast in R?

The dcast formula takes the form LHS ~ RHS , ex: var1 + var2 ~ var3 . The order of entries in the formula is essential. There are two special variables: . and . . represents no variable; represents all variables not otherwise mentioned in formula.

How do you reshape data frames?

melt() function is used to reshape a DataFrame from a wide to a long format. It is useful to get a DataFrame where one or more columns are identifier variables, and the other columns are unpivoted to the row axis leaving only two non-identifier columns named variable and value by default.

How install Dplyr package in R?

You can install:

  1. the latest released version from CRAN with install.packages(“dplyr”)
  2. the latest development version from github with if (packageVersion(“devtools”) < 1.6) { install.packages(“devtools”) } devtools::install_github(“hadley/lazyeval”) devtools::install_github(“hadley/dplyr”)

Why do we use Dplyr in R?

dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges: mutate() adds new variables that are functions of existing variables. select() picks variables based on their names. filter() picks cases based on their values.

What is long and wide format in R?

When there are multiple measurements of the same subject, across time or using different tools, the data is often described as being in “wide” format if there is one observation row per subject with each measurement present as a different variable and “long” format if there is one observation row per measurement (thus.

What is Rbind and Cbind in R?

cbind() and rbind() both create matrices by combining several vectors of the same length. cbind() combines vectors as columns, while rbind() combines them as rows.

What can one do with Dcast data Table ()?

In the spirit of data. table , it is very fast and memory efficient, making it well-suited to handling large data sets in RAM. More importantly, it is capable of handling very large data quite efficiently in terms of memory usage. dcast.

What is Dcast?

Acronym. Definition. DCAST. Data Collection and Scheduling Tool.

Why reshape R package?

Why Reshape R Package? The data obtained as a result of an experiment or study is generally different from data required as an input to the analytic functions. Generally the data from a study has one or more columns that uniquely identify a row followed by a number of columns that represent the values measured.

What is reshape2 and why should I Care?

Reshape2 is a reboot of the reshape package. It’s been over five years since the first release of reshape, and in that time I’ve learned a tremendous amount about R programming, and how to work with data in R. Reshape2 uses that knowledge to make a new package for reshaping data that is much more focused and much much faster.

What type of data do I need for reshape2?

For example, ggplot2 requires long-format data (technically tidy data ), plyr requires long-format data, and most modelling functions (such as lm (), glm (), and gam ()) require long-format data. But people often find it easier to record their data in wide format. reshape2 is based around two key functions: melt and cast:

What is the dcast function in reshape2?

In reshape2 there are multiple cast functions. Since you will most commonly work with data.frame objects, we’ll explore the dcast function. (There is also acast to return a vector, matrix, or array.) Let’s take the long-format airquality data and cast it into some different wide formats.