How I read these . signs in col chi2(2) in this picture?
Array
From stata instructions I have understood that I should test the smallest, in this case the log transformation. And what is the meaning of col P(chi2)? Is it the p-value? What is the hypothesis behind that p? Does this picture mean, that any of these transformations don't transform me the variable which is normally distrubuted?
Other question: is there any normality test for bigger amounts of variables? I have 6411 variable in my whole data and from stata instructions I have read:
swilk can be used with 4 < n<2000 observations. sfrancia can be used with 10<n<5000 observations; however, if the boxcox option is specified, it can be used with 5<n<1000 observations.
Many thanks if somebody can give some answers!
BR, Heidi Peltotalo
Related Posts with Variable transformations and the meaning of . in chi2(2) column
Lags for Newey West Standard Errors in fmbHi, I am using the command fmb in order to estimate Fama-Macbeth regressions for my unbalanced pane…
multilevel models with non-nested dataHello, I'd like information about multilevel models with non-nested data. . Could someone indicate a…
Difference in Difference (DiD) with xtabond and xtdpdsysHello everyone, I am trying to work out how to complete a DiD analysis with Difference GMM and Syst…
Test for trend using mi postestimationHi all, I'm attempting to test for a trend in age category and other ordinal variables on my depend…
Storing Cumulative Risk ValuesCode Code: use https://data.princeton.edu/pop509/justices2.dta, clear stset tenure, fail(event == 1…
Subscribe to:
Post Comments (Atom)
0 Response to Variable transformations and the meaning of . in chi2(2) column
Post a Comment