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- #USESPSS STATA 13 HOW TO#
- #USESPSS STATA 13 INSTALL#
- #USESPSS STATA 13 SOFTWARE#
- #USESPSS STATA 13 CODE#
lubridate: better way to work with dates.data.table: similar to dplyr but good for large datasets some extra functionality.*dplyr: filter, create new variables, summarise, … Basically, anything you can think to do to a dataset.If you have any comments, feel free to email us.
#USESPSS STATA 13 CODE#
To load the packages listed here, copy this code into R: install.packages("devtools")library(devtools) devtools::install_github("flaneuse/llamar") library(llamar)loadPkgs.It’s under development now, so apologies for any lack of documentation and/or anything that breaks in the future. Laura is in the process of creating an R library called llamar to make it easier to load the most useful libraries at once (and also to create some custom plotting themes and functions).
#USESPSS STATA 13 INSTALL#
All packages can be found on R’s CRANĨ、A lazy way to install and load all these packages To install any of the packages, use install.packages(""), as in: install.packages("ggplot2").Core libraries are indicated with an asterisk, and are part.icularly recommended for all users. Here’s a running list of packages that we find particularly helpful, broken down by category. R has a long list of libraries that extend the functionality of base R and make it easier to use.kountry: standardize country names across datasets.nsplit: split numeric variables into components.extremes: list extreme values of a variable.confirmdir: confirm if a directory exists.
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#USESPSS STATA 13 SOFTWARE#
#USESPSS STATA 13 HOW TO#
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