Stata And R

To analyze panel data for a thesis, you reshape your data into long format with one row per entity per period, declare it as … Read more

A do-file is a plain text file with a .do extension that holds a list of Stata commands, which you run as one script … Read more

If you are weighing SPSS, Stata and R for dissertation analysis, the short answer is that SPSS suits menu-driven beginners doing standard survey work, … Read more

You attach text to your data in Stata with the label command and one of three subcommands: label variable for the description attached to … Read more

To run regression in Stata, type regress, then your dependent variable, then your explanatory variables, and press Enter. Stata fits an ordinary least squares … Read more

To reshape data from wide to long format, you stack the measurement columns on top of each other so each observation gets its own … Read more

Cleaning data in R with dplyr means running a fixed, repeatable sequence of checks on a data frame and fixing what you find: first … Read more

You run a linear regression in R by passing a model formula to lm() and then printing it with summary(). The whole core workflow … Read more

To run ANOVA in R and interpret the output, fit the model with aov(score ~ method, data = mydata), print it with summary(fit), then … Read more

To run a t test in R, use the built-in t.test() function. Pass your numbers as t.test(x) for a one-sample test, t.test(y ~ group, … Read more