Stella

A package to provide functions that mimic some basic Stata functionality.

Installation

  ] add https://github.com/mwsohn/Stella.jl

List of Functions

Here's the list of functions. Documentation for individual functions can be accessed using the Julia help (e.g., ?read_stata at the Julia REPL prompt).

DataFrame tools

• read_stata - This is a wrapper for read_dta function in ReadStat package that produces a dataframe as output.
• desc - Prints the list of variables, similar to showcols. It prints variable and value labels with labels option.
• dfcompress! - Compress all numeric variables in a dataframe by converting them to the type that will occupy the least memory.
• acompress - Compress one abstract array
• duplicates - Identifies, deletes, or tag duplicates in a dataframe
• pickone - Identifies only one record in repeated data similar to egen tag function in stata
• dfsample - Creates a dataframe with a randomly selected sample from the input dataframe
• dfmerge - Merges two dataframes and creates a :_merge variable that indicates data sources, similar to Stata merge command
• classify - Creates a classification variable with the specified cutoff values
• xtile - Creates a ntile classification variable, similar to Stata's xtile command
• destring - Converts a string vector to a numeric vector
• rowstat - Creates a vector of statistics from multiple rows in a dataframe, analogous to Stata's egen row commands
• substat - Creates a vector of statistics for a subgroup of rows, analogous to Stata's egen, by commands

Statitical utilities

• pwcorr - Produces pairwise correlations
• anova - One-way analysis of variance
• univariate - Univariate statistics, output to a DataFrame
• ttest - T-test statistics
• tabstat - Creates statistics by categories using functions provided, similar to Stata's tabstat command
• eform - Produces exponentiated GLM regression output such as coefficients and standard errors