1. re: if...then...else
This is how I would write code for the variable score
(I'm changing your example to a numeric variable because I am uncomfortable
with char types):
g byte grade =1 if score > 90 /*now any score<=90 is .*/
recode grade .=2 if score > 80 /*now any score<=80 is ., and so forth*/
recode grade .=3 if score > 70
recode grade .=4 if score > 60
label def grade 1 A 2 B 3 C 4 D
label val grade grade
-----------------------------------
original question from Richard Herrell <[email protected]>
Say I want to assign grades to my
students' percentage scores. In SAS I could write
if score > 90 then grade='A';
else if score > 80 then grade='B';
else if score > 70 then grade='C';
else if score > 60 then grade='D';
************************************
2. advantages of SAS/SUDAAN but not in Stata
For survey data, SAS/SUDAAN can do survival analysis.
Also, SAS/SUDAAN is easier to use when I need to do survey data cross-tabs
(equivalent of svymean or svytab) & then output results into a text file.
Jan Brogger has a macro to do this for the estimated percents, but I have
not successfully written a program for my needs, as I have trouble accessing
estimates from matrices (I am not a programmer).
In SAS/SUDAAN, I can cross-tabulate survey data with SUDAAN, then use SAS to
create one row of delimited text file for each combination of values of the
x-variable and y-variable (I can specify that I want the rows sorted first
by y-variable, then by x-variable): each of these rows contains the
estimated row percent (from weighted data, using design variables), standard
error of estimated percent, lower 95%CL of weighted percent, upper 95%CL of
weighted percent, sample number, estimated number, standard error of
estimated number, lower 95%CL of estimated number, upper 95%CL of estimated
number. [Or I could do this for column percents & estimated numbers, or
just the percents, or just the numbers]. This enables me to create Excel
files with hundreds of cross-tabs in relatively short time.
If anyone has a program that is ready-to-use for this purpose, I would be
most grateful.
Ssu Weng
Epidemiologist
Maternal and Child Health Epidemiology
New Mexico Department of Health
Santa Fe, NM 87505
[email protected]
home phone 505 983 3168
office phone 505 476 8892
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