I'm currently analysing data for a student project. During the analysis, I combined two variables into one with cbind():
interpas$GA02_01 <- cbind(interpas$LP02_01, interpas$ST02_01)
The two variables LP02_01 and ST02_01 are measuring the same questions but for different media-formats. There's no overlapping between the two. The structure is like this:
LP02_01 ST02_01
1 NA
NA 2
NA 5
4 NA
So they just get combined. When I calculate the mean with the built-in mean() function from R, I get the mean of the new variable GA02_01.
But when I'um using the mean function of the package psych, or any other function for descriptive statistics (like describe) from this package, it's calculating the two variables LP02_01 and ST02_01 still seperately. Like this:
> describe(interpas$GA02_01)
vars n mean sd median trimmed mad min max range skew kurtosis se
X1 1 151 3.62 1.89 4 3.59 1.48 1 7 6 0.00 -1.24 0.15
X2 2 63 2.70 1.92 2 2.45 1.48 1 7 6 0.85 -0.64 0.24
Does anyone know a solution to this? Unfortunately, I need the descriptive functions skew and kurtosi from the psych package for further analysis and a function to check for normal distribution.
Thanks a lot!