collapse Summary Statisticscollapse provides the following functions to efficiently summarize data:
qsu, shorthand for quick-summary, is an extremely fast summary command inspired by the (xt)summarize command in the STATA statistical software. It computes a set of 7 statistics (nobs, mean, sd, min, max, skewness and kurtosis) using a numerically stable one-pass method. Statistics can be computed weighted, by groups, and also within-and between entities (for multilevel / panel-data).
descr computes a concise and detailed description of a data.frame, including frequency tables for categorical variables and various statistics and quantiles for numeric variables. It is inspired by Hmisc::describe, but about 10x faster.
pwcor, pwcov and pwNobs compute pairwise correlations, covariances and observation counts, respectively. Pairwise correlations and covariances can be computed together with observation counts and p-values, and output as 3D array (default) or list of matrices. A major feature of pwcor and pwcov is the print method displaying all of these statistics in a single correlation table.
| Function / S3 Generic | Methods | Description | ||
qsu |
default, matrix, data.frame, pseries, pdata.frame |
Fast (grouped, weighted, panel-decomposed) summary statistics | ||
descr |
No methods, for data.frame's or lists of vectors | detailed statistical description of data.frame | ||
pwcor |
No methods, for matrices or data.frame's | pairwise correlations | ||
pwcov |
No methods, for matrices or data.frame's | pairwise covariances | ||
pwNobs |
No methods, for matrices or data.frame's | pairwise observation counts |