Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: stats
See also: summarize mean var min max quantile excess kurtosis skewness

Quantlet: descriptive
Description: provides extensive descriptive statistics for the columns of a data matrix. An additional vector of name strings can be given to identify columns by names.

Usage: desc = descriptive(x{,xvars})
Input:
x n x p matrix, the columns correspond to the variables (x may contain NaN, Inf or -Inf.).
xvars (optional), p x 1 vector of strings containing the variable names.
Output:
desc string output, containing the table of descriptive statistics.

Example:
library("stats")
setenv("outputstringformat", "%s")
x=read("bank2")
xvars="length"|"l_height"|"r_height"|"u_frame"|"l_frame"|"diagonal"
descriptive(x,xvars)

Result:
descriptive statistics for all six variables, as e.g. for length:

  [  1,]
  [  2,] =========================================================
  [  3,]  Variable length
  [  4,] =========================================================
  [  5,]
  [  6,]  Mean              214.896
  [  7,]  Std.Error        0.376554     Variance         0.141793
  [  8,]
  [  9,]  Minimum             213.8     Maximum             216.3
  [ 10,]  Range                 2.5
  [ 11,]
  [ 12,]  Lowest cases                  Highest cases
  [ 13,]          71:         213.8               6:        215.7
  [ 14,]          40:         213.9              24:        215.7
  [ 15,]         171:         213.9              57:        215.7
  [ 16,]          76:         214.1              35:        215.9
  [ 17,]         172:         214.2             167:        216.3
  [ 18,]
  [ 19,]  Median              214.9
  [ 20,]  25% Quantile        214.6     75% Quantile        215.1
  [ 21,]
  [ 22,]  Skewness         0.187724     Kurtosis          3.71265
  [ 23,]                                Excess           0.712654
  [ 23,]
  [ 24,]  Observations                    200
  [ 25,]  Distinct observations            21
  [ 26,]
  [ 27,]  Total number of {-Inf,Inf,NaN}    0
  [ 28,]
  [ 29,] =========================================================
  [ 30,]



Author: M. Mueller, 20020108
(C) MD*TECH Method and Data Technologies, 05.02.2006