Input Data Sets |

You can read analysis variable measurements from a data set specified with the DATA= option in the PROC BOXPLOT statement. Each analysis variable specified in the PLOT statement must be a SAS variable in the data set. This variable provides measurements that are organized into groups indexed by the group variable. The group variable, specified in the PLOT statement, must also be a SAS variable in the DATA= data set. Each observation in a DATA= data set must contain a value for each analysis variable and a value for the group variable. If the th group contains measurements, there should be consecutive observations for which the value of the group variable is the index of the th group. For example, if each group contains 20 items and there are 30 groups, the DATA= data set should contain 600 observations. Other variables that can be read from a DATA= data set include the following:

block variables

symbol variable

BY variables

ID variables

You can read group summary statistics and outlier information from a BOX= data set specified in the PROC BOXPLOT statement. This enables you to reuse OUTBOX= data sets that have been created in previous runs of the BOXPLOT procedure to reproduce schematic box plots.

A BOX= data set must contain the following variables:

the group variable

_VAR_, containing the analysis variable name

_TYPE_, identifying features of box-and-whiskers plots

_VALUE_, containing values of those features

Each observation in a BOX= data set records the value of a single feature of one group’s box-and-whiskers plot, such as its mean. Consequently, a BOX= data set contains multiple observations per group. These must appear consecutively in the BOX= data set.

The _TYPE_ variable identifies the feature whose value is recorded in a given observation. The following table lists valid _TYPE_ variable values.

_TYPE_ |
Description |
---|---|

N |
group size |

MIN |
group minimum value |

Q1 |
group first quartile |

MEDIAN |
group median |

MEAN |
group mean |

Q3 |
group third quartile |

MAX |
group maximum value |

STDDEV |
group standard deviation |

LOW |
low outlier value |

HIGH |
high outlier value |

LOWHISKR |
low whisker value, if different from MIN |

HIWHISKR |
high whisker value, if different from MAX |

FARLOW |
low far outlier value |

FARHIGH |
high far outlier value |

The features identified by _TYPE_ values N, MIN, Q1, MEDIAN, MEAN, Q3, and MAX are required for each group.

Other variables that can be read from a BOX= data set include the following:

the variable _ID_, containing labels for outliers

the variable _HTML_, containing URLs to be associated with features on box plots

block variables

symbol variable

BY variables

ID variables

When you specify the keyword SCHEMATICID or SCHEMATICIDFAR with the BOXSTYLE= option, values of _ID_ are used as outlier labels. If _ID_ does not exist in the BOX= data set, the values of the first variable listed in the ID statement are used.

You can read group summary statistics from a HISTORY= data set specified in the PROC BOXPLOT statement. This enables you to reuse OUTHISTORY= data sets that have been created in previous runs of the BOXPLOT procedure or to read output data sets created with SAS summarization procedures, such as PROC UNIVARIATE.

Note that a HISTORY= data set does *not* contain outlier information. Therefore, in general you cannot reproduce a schematic box plot from summary statistics saved in an OUTHISTORY= data set. To save and reproduce schematic box plots, use OUTBOX= and BOX= data sets.

A HISTORY= data set must contain the following:

the group variable

a group minimum variable for each analysis variable

a group first-quartile variable for each analysis variable

a group median variable for each analysis variable

a group mean variable for each analysis variable

a group third-quartile variable for each analysis variable

a group maximum variable for each analysis variable

a group standard deviation variable for each analysis variable

a group size variable for each analysis variable

The names of the group summary statistics variables must be the analysis variable name concatenated with the following special suffix characters.

Group Summary Statistic |
Suffix Character |
---|---|

group minimum |
L |

group first quartile |
1 |

group median |
M |

group mean |
X |

group third quartile |
3 |

group maximum |
H |

group standard deviation |
S |

group size |
N |

For example, consider the following statements:

proc boxplot history=Summary; plot (Weight Yieldstrength) * Batch; run;

The data set Summary must include the variables Batch, WeightL, Weight1, WeightM, WeightX, Weight3, WeightH, WeightS, WeightN, YieldstrengthL, Yieldstrength1, YieldstrengthM, YieldstrengthX, Yieldstrength3, YieldstrengthH, YieldstrengthS, and YieldstrengthN.

Note that if you specify an analysis variable whose name contains the maximum of 32 characters, the summary variable names must be formed from the first 16 characters and the last 15 characters of the analysis variable name, suffixed with the appropriate character.

These other variables can be read from a HISTORY= data set:

block variables

symbol variable

BY variables

ID variables