This menu-driven, task-oriented software is designed to guide the analysis of data and the interpretation of the results. You do not need to write SAS programs, but you retain access to the SAS System's powerful statistical analysis capabilities. If you're not sure which type of analysis is appropriate for your data, SAS/LAB software prompts you for information then attempts to determine the appropriate analysis. Messages are also displayed to guide you through the analysis; if you aren't sure what to do next, access the online help facility.
Data Entry and Selection
access to existing SAS data sets and views
import data from external files
interactively enter data to create new data sets
one record at a time
many records at a time
fill in a two-dimensional table
Data Summarization
Univariate and Bivariate Statistics
summary statistics
frequency tables
correlations
crosstabulations
Graphical Summaries
scatter plots
three-dimensional graphs
box-and-whisker plots
histograms
superimpose a normal and/or kernel density curve
print your choice of summary statistics in inset boxes
normal probability plots
control charts
mean and range charts
mean and standard deviation charts
individual measurement and moving range charts
mean chart with box-and-whisker plots
uniformly weighted moving average chart
median and range charts
p, np, c, and u charts
tests for special causes
Guided Statistical Analysis
Choose your analysis method, or let SAS choose it for you
One-Way Analysis of Variance
Simple Linear Regression
Multiple Regression and ANOVA
Analysis of Covariance
Choose a model
main effects only
main effects with interaction
quadratic
define your own (or modify one of the standard models)
linear, quadratic, or cubic regression models
Messages inform you about violated assumptions:
transform the response variable with:
square root, log (base 10, 2, or e), or inverse transformations
Box-Cox optimal power transformation
supply your own transformation by entering a valid SAS formula
chi-square and Levene's test for nonconstant variance
invalid design or structure of the data
outlier detection with studentized residuals, and plots
influential observations (using DFFITS or leverage), and plots
existence or nonexistence of curvilinearity
confounded effects
unequal slopes, providing evidence of interaction effects
Graphical summaries
side-by-side box-and-whisker plots compare groups for ANOVA
display linear, quadratic, or cubic curves for simple linear regression
plot of response versus covariate, with overlaid regression lines by group
plot residual plots, or choose other variables to plot
investigate outliers and influential observations with relevant plots
Analyses
display the ANOVA table for overall fit
ANOVA weighted for unequal variances (Welch's test for One-way ANOVA)
ANOVA table and Pareto graphic
display parameter estimates and the model equation
predict values of the transformed or original response variable
compute standard errors of the mean and calculate confidence intervals
confidence limits for the mean or individual predicted values with simple linear regression
compute least square means
perform Tukey's multiple comparison of the group means with the original or transformed response variable
comparisons of group means with the original or transformed response variable
Tukey's
Simulation-based
Bonferroni
The Journal Facility
save text from your analyses into the text journal (or print directly from the window)
review, edit, and print saved text
save plots from your analyses into a graphics journal
review, edit, and print saved graphs
Data Management
manage SAS data libraries and assign librefs
browse, edit, or delete a data set
print or save a data set listing
add, modify, recode, and delete variables
subset observations and variables
Customize the Computing Environment
select hardcopy device for printing graphs
customize graphics setting to enhance appearance of graphs on your monitor and hardcopy device
set text and data colors and fonts
control the size and position of the windows