| aggregate |
Aggregates the data in the columns of a matrix based upon a column containing group ids with a choice of method. |
| dstatmt |
Computes descriptive statistics of a dataset, dataframe, or matrix. |
| frequency |
Generate frequency table. |
| JarqueBera |
Computes the Jarque-Bera goodness-of-fit test |
| kurtosis |
Computes the sample kurtosis. |
| maxc |
Computes maximum value of each column of a matrix. |
| meanc |
Computes mean value of each column of a matrix. |
| median |
Computes medians of the columns of a matrix. |
| minc |
Computes minimum value of each column of a matrix. |
| modec |
Computes mode of each column of a matrix. |
| pdSummary |
Returns summary statistics for panel data, including overall, between-group, and within-group statistics. |
| quantile |
Computes quantiles from each column in a matrix, given specified probabilities. |
| ../skew |
Computes the sample skew. |
| stdc |
Computes the sample standard deviation of the elements in each column of a matrix. |
| tabulate |
Computes and returns two-way tables of frequencies. |
| vcm, vcx |
Computes an unbiased estimate of a variance-covariance matrix from a matrix \(x\) or a moment matrix, \(x'x\). |