(a) It is shorter to write and (2) the age groups are ordered in the correct way, which is crucial when it comes to visualizing the data.
This function simplifies working with multiple analyses on a consistent basis. This is crucial if one is working with large data sets.ġs Approach: an adaptation of the previous answer but now using data.table + including labels: library(data.table)Īgebreaks 0 & age 4 & age 9 & age 14 & age 19 & age 24 & age 29 & age 34 & age 39 & age 44 & age 49 & age 54 & age 59 & age 64 & age 69 & age 74 & age 79 & age 84, agegroup := "85+"]Īlthough the two approaches should give the same result, I prefer the 1st one for two reasons. Using Scripting in PASW Statistics Used to capture commands that are used repeatedly. The data files were joined based on the id variable countryID. Note that there are just two differences between this program and that of the program in Example 18.7 that uses the DO UNTIL loop: i) The iteration i 1 to 15 has been inserted into the DO UNTIL statement and ii) because the index variable i is created for the DO loop, it is dropped before writing the contents from the program data vector to. We can combine job and age, yielding another 12-category variable. To type the name of a variable, we can simply click on the name and start typing it. Customers may contact Technical Support for assistance in using PASW Statistics or.
#Combine variable pasw statistics 18 software
The PASW Statistics 18 Guide to Data Analysis is a friendly introduction to both data analysis and PASW Statistics 18 (formerly SPSS Statistics), the worlds leading desktop statistical software package. Starting Version 18, SPSS has a different name: PASW Statistics 18. This answer provides two ways to solve the problem using the data.table package, which would greatly improve the speed of the process. Then, use the merge () function to join the two data sets based on a unique id variable that is common to both data sets: > merged.data <- merge (dataset1, dataset2, by'countryID') merged.data is an R object, which contains the two merged data sets. PASW Statistics 18 Guide to Data Analysis.
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