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FREQUENCIES /VARIABLES=var_list/FORMAT={TABLE,NOTABLE,LIMIT(limit)} {AVALUE,DVALUE,AFREQ,DFREQ} /MISSING={EXCLUDE,INCLUDE} /STATISTICS={DEFAULT,MEAN,SEMEAN,MEDIAN,MODE,STDDEV,VARIANCE, KURTOSIS,SKEWNESS,RANGE,MINIMUM,MAXIMUM,SUM, SESKEWNESS,SEKURTOSIS,ALL,NONE} /NTILES=ntiles/PERCENTILES=percent… /HISTOGRAM=[MINIMUM(x_min)] [MAXIMUM(x_max)] [{FREQ[(y_max)],PERCENT[(y_max)]}] [{NONORMAL,NORMAL}] /PIECHART=[MINIMUM(x_min)] [MAXIMUM(x_max)] [{FREQ,PERCENT}] [{NOMISSING,MISSING}] /BARCHART=[MINIMUM(x_min)] [MAXIMUM(x_max)] [{FREQ,PERCENT}] /ORDER={ANALYSIS,VARIABLE} (These options are not currently implemented.) /HBAR=… /GROUPED=…

The `FREQUENCIES`

procedure outputs frequency tables for specified
variables.
`FREQUENCIES`

can also calculate and display descriptive statistics
(including median and mode) and percentiles, and various graphical representations
of the frequency distribution.

The `VARIABLES`

subcommand is the only required subcommand. Specify the
variables to be analyzed.

The `FORMAT`

subcommand controls the output format. It has several
possible settings:

`TABLE`

, the default, causes a frequency table to be output for every variable specified.`NOTABLE`

prevents them from being output.`LIMIT`

with a numeric argument causes them to be output except when there are more than the specified number of values in the table.`Normally frequency tables are sorted in ascending order by value. This is`

`AVALUE`

.`DVALUE`

tables are sorted in descending order by value.`AFREQ`

and`DFREQ`

tables are sorted in ascending and descending order, respectively, by frequency count.

The `MISSING`

subcommand controls the handling of user-missing values.
When `EXCLUDE`

, the default, is set, user-missing values are not included
in frequency tables or statistics. When `INCLUDE`

is set, user-missing
are included. System-missing values are never included in statistics,
but are listed in frequency tables.

The available `STATISTICS`

are the same as available
in `DESCRIPTIVES`

(see DESCRIPTIVES), with the addition
of `MEDIAN`

, the data’s median
value, and MODE, the mode. (If there are multiple modes, the smallest
value is reported.) By default, the mean, standard deviation of the
mean, minimum, and maximum are reported for each variable.

`PERCENTILES`

causes the specified percentiles to be reported.
The percentiles should be presented at a list of numbers between 0
and 100 inclusive.
The `NTILES`

subcommand causes the percentiles to be reported at the
boundaries of the data set divided into the specified number of ranges.
For instance, `/NTILES=4`

would cause quartiles to be reported.

The `HISTOGRAM`

subcommand causes the output to include a histogram for
each specified numeric variable. The X axis by default ranges from
the minimum to the maximum value observed in the data, but the `MINIMUM`

and `MAXIMUM`

keywords can set an explicit range.
^{3}
Histograms are not created for string variables.

Specify `NORMAL`

to superimpose a normal curve on the
histogram.

The `PIECHART`

subcommand adds a pie chart for each variable to the data. Each
slice represents one value, with the size of the slice proportional to
the value’s frequency. By default, all non-missing values are given
slices.
The `MINIMUM`

and `MAXIMUM`

keywords can be used to limit the
displayed slices to a given range of values.
The keyword `NOMISSING`

causes missing values to be omitted from the
piechart. This is the default.
If instead, `MISSING`

is specified, then a single slice
will be included representing all system missing and user-missing cases.

The `BARCHART`

subcommand produces a bar chart for each variable.
The `MINIMUM`

and `MAXIMUM`

keywords can be used to omit
categories whose counts which lie outside the specified limits.
The `FREQ`

option (default) causes the ordinate to display the frequency
of each category, whereas the `PERCENT`

option will display relative
percentages.

The `FREQ`

and `PERCENT`

options on `HISTOGRAM`

and
`PIECHART`

are accepted but not currently honoured.

The `ORDER`

subcommand is accepted but ignored.

The number of
bins is chosen according to the Freedman-Diaconis rule:
*2 \times IQR(x)n^{-1/3}*, where *IQR(x)* is the interquartile range of *x*
and *n* is the number of samples. Note that
`EXAMINE`

uses a different algorithm to determine bin sizes.

Next: EXAMINE, Previous: DESCRIPTIVES, Up: Statistics [Contents][Index]