![]() ![]() ![]() To start with, suppose we had such a merged file (generally, a convenient way to store and analyze multilevel data) and we wanted to calculate descriptive statistics on some between person variables, such as age and sex. This dataset merges the baseline and daily datasets in a single, long format file. We will use the merged dataset from the daily collection exercise. With multilevel data, basic descriptive statistics can be calculated in different ways. # merged is a a merged long dataset of baseline and dailyĭm <- as.data.table(read_sav("Merged.sav"))ġ Descriptive Statsitics on Multilevel Data # new packages are lme4, lmerTest, and multilevelTools ![]()
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