PROC FREQ 1SHRUG November 28, 2014. What good is Proc FREQ It Counts! Answers question how many Display data (error checks), descriptive Analyze categorical.

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Presentation transcript:

PROC FREQ 1SHRUG November 28, 2014

What good is Proc FREQ It Counts! Answers question how many Display data (error checks), descriptive Analyze categorical data, statistical It is fast and easy 2SHRUG November 28, 2014

Syntax PROC FREQ; BY variables; EXACT statistic – options ; OUTPUT output-options; TABLES requests ; TEST options; WEIGHT variable ; RUN; 3SHRUG November 28, 2014

Just How Simple is it? Proc freq; Run; Proc freq data=mydata1; Tables _all_; or Tables _CHAR_; Run; 4SHRUG November 28, 2014

5

Options PROC FREQ; NLEVELS – Number of variable levels new back in version 9 ORDER= – DATA|FORMATTED|FREQ|INTERNAL 6SHRUG November 28, 2014

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Formatting Options TABLES variables / options ; 1-way, 2-way to n–way tables MISSPRINT, MISSING CROSSLIST, LIST, NOCOL, NOCUM, NOROW, NOFREQ, CUMCOL 8SHRUG November 28, 2014

Example Proc freq data=mydata1; Tables sex*health/nocum norow nopercent; Run; Proc freq data=mydata1; Tables sex*health/crosslist; Run; 9SHRUG November 28, 2014

10SHRUG November 28, 2014

11SHRUG November 28, 2014

12SHRUG November 28, 2014

Proc freq data=mydata1; tables region*sex*health/nocum norow nopercent; run; Proc sort data=mydata1; by region; run; Proc freq data=mydata1; by region; tables sex*health/nocum norow nopercent; run; 13SHRUG November 28, 2014

14SHRUG November 28, 2014

15SHRUG November 28, 2014

Statistical Computations 16SHRUG November 28, 2014

Statistical Computations Proc freq data=mydata1; Where racer ne 3 ;/*excludes where race=other*/ Tables sex*racer/chisq agree measures nowarn; Run; 17SHRUG November 28, 2014

Statistical Computations 18SHRUG November 28, 2014

19SHRUG November 28, 2014

EXACT Alternative to asymptotic p-values (sparse, skewed or heavily tied data) Computed using network algorithms Monte Carlo estimation also available POINT – exact probability that test statistic equals the observed value 20SHRUG November 28, 2014

New in SAS 9.3 Exact conditional Confidence Limits for Risk Difference and Relative Risk Maxlevels 21SHRUG November 28, 2014

New in SAS 9.4 MIDP - mid-p-values for exact tests only half of probability of observed sample is included in tail Score confidence limits for Odds ratio and Relative Risk Supports Baher, exact mid-p, likelihood ratio and logit binomial confidence limits 22SHRUG November 28, 2014

Kara Thompson Research Methods Unit, Department of Medicine, Dalhousie University SHRUG November 28,