Affect by Grades feat. other variables

PA and NA plotted in quartiles for the following factors:

Grades

quantile(df$static_outcome, na.rm = TRUE)

##   0%  25%  50%  75% 100% 
##    0    7    9   11   12

plot(gg.pa.grade)

plot(gg.na.grade)

Predictions

quantile(df$static_pred, na.rm = TRUE)

##        0%       25%       50%       75%      100% 
##  0.000000  7.000000  8.333333 10.000000 12.000000

plot(gg.pa.pred)

plot(gg.na.pred)

Prediction Errors

quantile(df$static_PE, na.rm = TRUE)

##         0%        25%        50%        75%       100% 
## -9.0000000 -1.0000000  0.3333333  1.6666667  8.0000000

plot(gg.pa.pe)

plot(gg.na.pe)

Confidence

quantile(df$static_conf, na.rm = TRUE)

##   0%  25%  50%  75% 100% 
##    0   19   30   45   87

plot(gg.pa.conf)

plot(gg.na.conf)

PE x Confidence interaction

quantile(df$conf_pe_int, na.rm = TRUE)

##          0%         25%         50%         75%        100% 
## -420.000000   -9.333333   16.000000   51.333333  332.000000

plot(gg.pa.cpe)

plot(gg.na.cpe)