WebCasting: The Basics. Casting is used to transform data from long to wide format. Starting with a long data set: DT = data.table (ID = rep (letters [1:3],3), Age = rep (20:22,3), Test = rep (c ("OB_A","OB_B","OB_C"), each = 3), Result = 1:9) We can cast our data using the dcast function in data.table. This returns another data.table in wide format: WebJan 10, 2024 · This tutorial discusses how to convert long format data to wide format, and wide format data to long format with the help of reshape command available in Stata. …
Reshaping data long to wide Stata Learning Modules
WebThe melt and dcast functions for data.table s are for reshaping wide-to-long and long-to-wide, respectively; the implementations are specifically designed with large in-memory data (e.g. 10Gb) in mind. In this vignette, we will. First briefly look at the default melt ing and dcast ing of data.table s to convert them from wide to long format and ... WebJun 5, 2014 · When using stats:::reshape() from base to convert data from long to wide format, for any variables designated as time invariant, reshape just takes the first observed value, and if the variable is actually varying in some way, outputs a warning. In my case, I have missing data on variables I would like to designate as time invariant, but since I … designer salary survey 2011
Reshaping from long to wide with some missing data (NA
WebIn reshaping the data from long to wide, we will create six new variables: faminc96, faminc97, faminc98 , spend96, spend97 and spend98 . The six variables are listed on both the keep and the retain statements. Following the same logic as in the previous example, we include an array statement to define the variables spend96, spend97 and spend98 . WebThese examples take long data files and reshape them into wide form. These show common examples of reshaping data but do not exhaustively demonstrate the different … WebThe reshape comments and similar argument names aren't all that helpful. However, I have found that for long to wide, you need to provide data = your data.frame, idvar = the variable that identifies your groups, v.names = the variables that will become multiple columns in … designer rv 5th wheel