SAS and R
1
Welcome
2
About
2.1
Organization
2.1.1
First Steps
2.1.2
Data
2.1.3
Tables
2.1.4
Plots
2.1.5
Packages
2.2
House Keeping
2.2.1
Philosophy
2.2.2
Approach
2.2.3
Contributing
3
First Steps in R
3.1
R and SAS Syntax
3.1.1
Packages and Sample Data
3.1.2
PROC CONTENTS
\(\rightarrow\)
summary()
3.1.3
PROC FREQ
\(\rightarrow\)
count()
3.1.4
KEEP/DROP
\(\rightarrow\)
select()
3.1.5
Subsetting data (WHERE/IF)
\(\rightarrow\)
filter()
3.1.6
Sorting data
3.1.7
Creating new variables
3.1.8
Handling of missing values
3.1.9
Merging Data
3.1.10
Concatenating Data
4
Data
4.1
External Data
4.1.1
CDISC Datasets
4.2
Internal Data
4.2.1
Package Data
4.2.2
Simulating Your Own
5
Tables
5.1
Building
5.1.1
Dataset Source
5.1.2
String Formatting
5.1.3
Create
5.2
Formatting
5.2.1
Post Processing
5.2.2
Displaying
5.3
Exporting
6
Figures & Plots
6.1
Basics
6.1.1
Building a plot using ggplot2
6.1.2
Exporting plots
6.2
Examples
6.2.1
Swimmer Plot
6.2.2
Waterfall Plot
6.2.3
Spaghetti Plot
6.2.4
Spider Plot
6.2.5
Survival Plot
6.2.6
Scatter Plot
6.2.7
Tornado Plot
6.2.8
Safety Plots
7
Clinical Statistics in R
8
Future
8.1
Use {renv}
8.2
Areas of Expansion
8.3
Content
9
Hybrid Programming with SAS and R
9.1
Use {sasr}
9.2
Use {jupyter}/{quarto} and {saspy}
9.3
Use {SASmarkdown}
9.4
SAS with command line or ssh (not recommended)
10
License
Published with bookdown
SAS and R
Chapter 9
Hybrid Programming with SAS and R
This section contains current solutions of hybrid programming.
