\begin{Schunk}
\begin{Sinput}
 ## convert from matrix to data frame needed for summarize
 hsb.mm1 <- as.data.frame(hsb.mm1)
 hsb.smry2 <- rockchalk::summarize(hsb.mm1)
\end{Sinput}
\begin{Soutput}
Numeric variables
           (Intercept)     ses       size    sectorCatholic   genderFemale
min           1            -3.76    100         0                0        
med           1             0      1016         0                1        
max           1             2.69   2713         1                1        
mean          1             0      1056.86      0.49             0.53     
sd            0             0.78    604.17      0.50             0.50     
skewness       NaN         -0.23      0.57      0.03            -0.11     
kurtosis       NaN         -0.38     -0.36     -2               -1.99     
nobs       7185          7185      7185      7185             7185        
nmissing      0             0         0         0                0        
           ethnicityNon-white
min           0              
med           0              
max           1              
mean          0.27           
sd            0.45           
skewness      1.01           
kurtosis     -0.98           
nobs       7185              
nmissing      0              
\end{Soutput}
\end{Schunk}
