Computing Statistics - Values, Frequencies and Quantiles

Values, Frequencies and Quantiles provide statistical functions to obtain specific position measures (quantiles) or to tabulate statistics associated to ordinal values.

They are univariate statistics.

Properties	Description

Properties	Description
General parameters
Statistics on integer variables are continuous	If selected, statistics will be displayed as continuous values (e.g. 12,34 instead of a rounded off 12).
Sample size
Number of total valid samples	Number of rows with valid values, not including missing values.
Values, frequencies and quantiles
Distinct values	The number of non coincident (tied) values.
Absolute frequencies	The number of occurrences of each value.
Cumulative frequencies	The proportion of values lower than or equal to each observed value.
Relative frequencies	The proportion of the occurrence of each value.
Partial means	The average of values lower than or equal to each observed value.
Partial sums	The sum of values lower than or equal to each observed value.
Generic quantiles	The calculation of quantiles with an arbitrary number of data subsets. The number of subsets is set in the value for generic quantiles. The default number is 4, i.e. the values of the lower and upper quantiles and median values are displayed.
Lorenz curve	Calculates the Lorenz distribution in a tabular format.
Quantile parameters
Value for generic quantiles	The threshold value for quantiles.