BAS 150Lesson 7: SAS Reporting Procs and Descriptive Statistics

• Utilize SAS Procs for reporting

• Incorporate descriptive statistics in reports

• Effectively export charts and data

This Lesson’s Learning Objectives

PROC Freq

o Options

o Using formats

o Missing data

o Order=

o Multi-dimensional tables

o Statistics

Topics (1 of 2)

PROC Means

o Options

o Class statement

o Missing data

o Output statement

o _TYPE_ and Chartype

ODS NOPROCTITLE

Topics (2 of 2)

PROC Freq can be used to run simple

frequency tables on your data

PROC Freq (1 of 4)

PROC Freq (2 of 4)

Results of PROC Freq of “Demographics”

Use the table statement to only print selected variables

Use the nocum option to suppress cumulative statistics

Use the nopercent option to suppress percent statistics

Can use options together or separately

PROC Freq (3 of 4)

where statement – Only include selected observations

format statement – Apply format to selected variables

o Only applies to current procedure

o Can be used to group data

PROC Freq (4 of 4)

Use formats to group data

Using Formats

Missing data will be excluded from the analysis

Will affect percent calculations

Missing Data (1 of 2)

Use the missing option to include missing values in the frequency table

Can also create a label for missing values in your PROC Format

Missing Data (2 of 2)

By default PROC Freq orders your frequency table based on the

internal (unformatted) values

Use the order= option to change the order

o internal: (Default) Order values by their internal (unformatted) values

o formatted: Order values by their formatted values

o freq: Order values from the most to least frequent

o data: Order values based on their order in the input dataset

Missing values, if included in the table, will always be listed first

regardless

Order= (1 of 2)

Order= (2 of 2)

Can create simple cross-tabulations

Multi-Dimension Tables (1 of 4)

Use the nocol option to suppress column percent statistics

Use the norow option to suppress row percent statistics

Use the nopercent option to suppress total percent statistics

Can use options together or separately

Multi-Dimension Tables (2 of 4)

Use the list option to display cross-tab tables in a list

format

Multi-Dimension Tables (3 of 4)

There are multiple ways to request tables:

Multi-Dimension Tables (4 of 4)

Notation Resulttable A * (B C D); Three tables: A by B; A by C; A by D

table (A B) * (C D); Four tables: A by C; A by D; B by C; B by D

table A * B * C; One three-way table with the format Page * Row * Column. Each classification of A would appear on a separate page.

table Ques1 - Ques10; Ten tables, one each for Ques1 through Ques10

table VarA -- VarB; One table each for all variables between VarA and VarB in the SAS dataset (by varnum)

table Ques: ; One table each for all variables that begin with “Ques”

table _numeric_; One table each for all numeric variables

table _character_; One table each for all character variables

table _all_; One table each for all variables

PROC Freq is also

used to calculate

certain statistics, such

as chi-square, odds

ratio, and relative risk

Statistics

PROC Means can be used to run simple

summary statistics on your data

PROC Means (1 of 5)

Results of PROC Means of “Demographics”

PROC Means (2 of 5)

Many options to control output of PROC Means

o NMiss Mean Median – Examples of statistics that can be specified

in PROC Means

(see later slide for list of statistical keywords)

o class statement – Allows for grouping by categorical variables

o var statement – Only provides statistics for listed analysis variables

PROC Means (3 of 5)

Statistics available in PROC Means

PROC Means (4 of 5)

maxdec= option – Specifies the number of decimal

places for statistics

where statement – Only include selected observations

format statement – Apply format to selected variables

o Only applies to current procedure

o Can be used to group class data

PROC Means (5 of 5)

Table can also include multiple class variables

Class Variables (1 of 2)

Table can also include multiple class variables

Class Variables (2 of 2)

Where Default OverrideAnalysis variable Excludes that observation from

the calculation of statisticsNone

Class variable Excludes that observation from the table

MISSING option

Missing Data

Includes selected

class variables

with missing

data

Includes all class variables with

missing data

Create output datasets using the output statement

out= specifies the name of the output dataset(s)

By default, the output dataset will include N, Mean, Min, Max, and

Std. Dev – regardless of which statistics you specify in the PROC

Means statement – for all levels of your class variable(s)

Output Statement (1 of 7)

Lesson:

If an observation is missing data for a class

variable, that observation is excluded from all

analyses in the procedure

Output Statement (2 of 7)

You can specify which statistics to include

through the output statement

Output Statement (3 of 7)

StatisticNew

variable name

Use the autoname function to automatically

generate new variable names

Output Statement (4 of 7)

If you forget to name your variables, your output will

not run correctly

Output Statement (5 of 7)

Can assign different statistics to each variable

Output Statement (6 of 7)

Can have multiple output statements with

different specifications for each dataset

Output Statement (7 of 7)

Some procedures (such as FREQ and MEANS) will

print a procedure title at the top of their output

o This cannot be controlled by title statements

ODS

Use an ODS NOPROCTITLE statement to

turn off the procedure titles

ODS NOPROCTITLE

• Utilize SAS Procs for reporting

• Incorporate descriptive statistics in reports

• Effectively export charts and data

Summary - Learning Objectives

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