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===Purpose=== | ===Purpose=== | ||
Summarizing statistics for sample data. | Summarizing statistics for sample data. | ||
===Synopsis=== | ===Synopsis=== | ||
:summ = | |||
: summ = summary(x) | |||
: text = summary(x, n) | |||
=== | |||
===Description=== | |||
* mean = mean of the sample | Given a data matrix (x) (numeric or DataSet object) this function calculates the following statistics for each column of x: | ||
* std = standard deviation of the sample | |||
* n = number of observations | * '''mean''' = mean of the sample | ||
* min = minimum value in the sample | * '''std''' = standard deviation of the sample | ||
* max = maximum value in the sample | * '''n''' = number of observations | ||
* p10 = tenth percentile | * '''min''' = minimum value in the sample | ||
* p25 = twenty-fifth percentile (lower quartile) | * '''max''' = maximum value in the sample | ||
* p50 = fiftieth percentile (median) | * '''p10''' = tenth percentile | ||
* p75 = seventy-fifth percentile (upper quartile) | * '''p25''' = twenty-fifth percentile (lower quartile) | ||
* p90 = nintieth percentile | * '''p50''' = fiftieth percentile (median) | ||
* skew = skewness | * '''p75''' = seventy-fifth percentile (upper quartile) | ||
* kurt = kurtosis | * '''p90''' = nintieth percentile | ||
* '''skew''' = skewness | |||
* '''kurt''' = kurtosis | |||
With only one input, the output is a DataSet object with the above statistics as rows of the matrix. If the second input (n) is also supplied, the output is a text table describing all of the statistics for the first n columns of the input data. | |||
If summary is called without requesting a return value, it prints to the command window a summary table containing up to 20 columns (default), or up to number specified by the (n) input parameter. | |||
If input x is a multi-dimensional array, the statistics are calculated for each multi-dimensional column of the array (the result will have the same dimensions on modes 2-k where k = number of modes in x). | |||
====Inputs==== | |||
* '''x''' = matrix (column vector) in which the sample data is stored. | |||
====Optional Inputs==== | |||
* '''n''' = number of columns to include in a text-formatted description of the summary statistics. Default is to analyze all columns (if output DataSet is requested), or the first 20 columns (if no output is requested.) | |||
====Outputs==== | |||
* '''summ''' = a DataSet object with rows corresponding to the statistics described above, or (when the input n is supplied) a text table of the statistics. | |||
===Examples=== | ===Examples=== | ||
summ = summary(x); | summ = summary(x); | ||
===See Also=== | ===See Also=== | ||
[[means]] | [[means]] | ||
Latest revision as of 12:35, 20 December 2011
Purpose
Summarizing statistics for sample data.
Synopsis
- summ = summary(x)
- text = summary(x, n)
Description
Given a data matrix (x) (numeric or DataSet object) this function calculates the following statistics for each column of x:
- mean = mean of the sample
- std = standard deviation of the sample
- n = number of observations
- min = minimum value in the sample
- max = maximum value in the sample
- p10 = tenth percentile
- p25 = twenty-fifth percentile (lower quartile)
- p50 = fiftieth percentile (median)
- p75 = seventy-fifth percentile (upper quartile)
- p90 = nintieth percentile
- skew = skewness
- kurt = kurtosis
With only one input, the output is a DataSet object with the above statistics as rows of the matrix. If the second input (n) is also supplied, the output is a text table describing all of the statistics for the first n columns of the input data.
If summary is called without requesting a return value, it prints to the command window a summary table containing up to 20 columns (default), or up to number specified by the (n) input parameter.
If input x is a multi-dimensional array, the statistics are calculated for each multi-dimensional column of the array (the result will have the same dimensions on modes 2-k where k = number of modes in x).
Inputs
- x = matrix (column vector) in which the sample data is stored.
Optional Inputs
- n = number of columns to include in a text-formatted description of the summary statistics. Default is to analyze all columns (if output DataSet is requested), or the first 20 columns (if no output is requested.)
Outputs
- summ = a DataSet object with rows corresponding to the statistics described above, or (when the input n is supplied) a text table of the statistics.
Examples
summ = summary(x);