In STATA, we need to download from the internet and read in the file. For our example, let’s use the mri data set. Many of the other simple functions ( sum - compute a sum, dim - return the dimensions of an object) operate in a similar way. To find the mean or the median, we simply type mean(data) or median(data). The STATA command conveniently displays all of these summary statistics with one command. In STATA, the summarize command calculates the number of observations, mean, standard deviation, minimum, and maximum value for each variable in the data set. We leave introduction of this package to a separate document entitled “Using the uwIntroStats Package”. In particular, one of the goals of the uwIntroStats package is to facilitate easy adoption of R for STATA users.
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However, some functions are only available in other packages which you have to install and load manually. Many of these functions are available in the base R package, which is automatically installed when R is installed and automatically loaded each time you boot up R.
We now present a detailed walkthrough of functions in R that perform the same task as functions in STATA, with syntax provided. In this document, we assume that the reader has read “An Introduction to R” or is at least familiar with the basic R data types, data manipulation, basic functions for descriptive statistics, installing and loading packages. We have written another document, “An Introduction to R”, which serves as an introduction to the R philosophy of programming and lays out some of the basic data manipulation strategies.
While STATA is an important tool to know, we argue that learning the fundamentals of R opens up many possibilities and a lot of power. Simulations are especially difficult to run. Only one data set can be read in at a time, and there is only one data type. While STATA is a powerful software, with relatively user-friendly syntax, it is not very flexible. At the University of Washington, STATA has been taught for many years.
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Each statistics and biostatistics department around the world, in conjunction with their collaborators (for us at the University of Washington this includes departments like Epidemiology and Global Health), must choose a statistical software to teach in introductory courses.
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