Statistics project help -- 2
Budget: $10 – $30 USD
1. Using data empdatu and empdatu2 from library cert, write SAS codes to produce output.
2. Using data empdatu and empdatu2 from library cert, write SAS codes to produce output
3. Use data set1 and set2 from library cert
a. Merge 2 data sets by id. Include all observations in either data sets in the matched data. Rename variables age, height and weight to age_yrs, height_in and weight_lbs, respectively. If pre-processing of data is needed (i.e. sorting), output the sorted data to a new SAS data (i.e. don’t overwrite permanent SAS data sets).
b. Merge 2 data sets by id. Include only observations that are in both data sets in the matched data.
c. Merge 2 data sets by id. Include only observations that are in set2 data in the matched data. Rename variables height and weight to height_in and weight_lbs, respectively.
2. Using data empdatu and empdatu2 from library cert, write SAS codes to produce output
3. Use data set1 and set2 from library cert
a. Merge 2 data sets by id. Include all observations in either data sets in the matched data. Rename variables age, height and weight to age_yrs, height_in and weight_lbs, respectively. If pre-processing of data is needed (i.e. sorting), output the sorted data to a new SAS data (i.e. don’t overwrite permanent SAS data sets).
b. Merge 2 data sets by id. Include only observations that are in both data sets in the matched data.
c. Merge 2 data sets by id. Include only observations that are in set2 data in the matched data. Rename variables height and weight to height_in and weight_lbs, respectively.