Homework \#4 Problem \#1 a) Read the data set admitfix.dat (RAW data file) using column format, and create the SAS data set admit sasdata in the Work library. b) Compute BMI using the formula: \[ B M I=\frac{\text { Weight }(l b) \times 703}{(\text { Height(in }))^{2}} \] c) Use PROC CONTENTS to see the variable attributes d) Use PROC PRINT to print the admit_sasdata, and look at the date variable. e) Now use the code below to print the data and look at the output. Do you see any difference? proc print; format date date9.; run; Problem \#2 a) Write a SAS program to read admitFix.dat data using INFILE statement and create an external raw data set (and a temp SAS dataset) with only the observations whose Actlevel = 'HIGH' b) Using PUT statement put the external data to the a folder (eg. / stat5200/MYdata), and call the raw data set as adm high dat Include the following variables (start Col. - End Col.): Name (5-20), Age (28-29), Height (42-43), Weight (49-51), Fee (59-63), Actlevel (53-56). Use a simgle DATA step.
Homework \#4 Problem \#1 a) Read the data set admitfix.dat (RAW data file) using column format, and create the SAS data set admit sasdata in the Work library. b) Compute BMI using the formula: \[ B M I=\frac{\text { Weight }(l b) \times 703}{(\text { Height(in }))^{2}} \] c) Use PROC CONTENTS to see the variable attributes d) Use PROC PRINT to print the admit_sasdata, and look at the date variable. e) Now use the code below to print the data and look at the output. Do you see any difference? proc print; format date date9.; run; Problem \#2 a) Write a SAS
Trending now
This is a popular solution!
Step by step
Solved in 3 steps