Descriptive Statistics, Statistics By Group. Quick-R. accessing the power of R. It defines the desired table using a model formula and a function. Here is a simple example. Among many user-written packages, package pastecs has an easy to use function called stat.desc to display a table of descriptive statistics for a list of variables. A colleague asked: I have a lot of data in a table and I’d like to pull out some summary statistics for different subgroups. Can R do this for me quickly?.
In this section, we present descriptive statistics, ie a set of tools to describe and explore data. Descr() in the descr package gives min, max, mean and quartiles for continuous variables, frequency tables for factors and length for character vectors. Summary (or descriptive) statistics are the first figures used to represent nearly every dataset. They also form the foundation for much more complicated computations and analyses. R can be a bit slow. If you need to speed things up, give data.table a try. This post provides a quick intro with some useful snippets.
The package has functions to generate LaTeX code for your tables for easy import to your documents. Thus, this first tutorial on descriptive statistics serves a dual role as a brief introduction to R. We wish to read an ASCII data file into an R object using the read.table command or one of its variants. Describing and Examining Measurement (Quantitative) data using R. Designed for those new to SAS and filled with illustrative examples, the book shows how to read, write and import data; prepare data for analysis; use SAS procedures; evaluate quantitative data; analyze counts and crosstabulation tables; and compare means using the t-test.
Report basic summary statistics by a grouping variable. Useful if the grouping variable is some experimental variable and data are to be aggregated for plotting. You can use the MEANS procedure to generate a statistical summary. Data is sent to a target table and to the Output tab of the Job Editor. You can also create ODS output. The default summary statistics table Remove row and column names. Summary Statistics and Graphs with R Exploratory Data Analysis. Table of Contents. Contributing Authors: Ching-Ti Liu, PhD, Associate Professor, Biostatistics. The function creates a table for each attribute and lists a breakdown of values. Factors are described as counts next to each class label.