Allvars %>%
group_by(PsychAggress) %>%
summarise_at(vars(TrailsA),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 43.8
## 2 Yes 34.1
Allvars %>%
group_by(PhysAssault) %>%
summarise_at(vars(TrailsA),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 36.0
## 2 Yes 31.1
Allvars %>%
group_by(PsychAggress) %>%
summarise_at(vars(TrailsB),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 119.
## 2 Yes 107.
Allvars %>%
group_by(PhysAssault) %>%
summarise_at(vars(TrailsB),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 109.
## 2 Yes 102.
Allvars %>%
group_by(PsychAggress) %>%
summarise_at(vars(DigitSpanFwd),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 7.08
## 2 Yes 7.57
Allvars %>%
group_by(PhysAssault) %>%
summarise_at(vars(DigitSpanFwd),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 7.49
## 2 Yes 7.6
Allvars %>%
group_by(PsychAggress) %>%
summarise_at(vars(DigitSpanBck),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 5.60
## 2 Yes 5.92
Allvars %>%
group_by(PhysAssault) %>%
summarise_at(vars(DigitSpanBck),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 5.84
## 2 Yes 6.2
Allvars %>%
group_by(PsychAggress) %>%
summarise_at(vars(FluencyWord),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 19.0
## 2 Yes 19.7
Allvars %>%
group_by(PhysAssault) %>%
summarise_at(vars(FluencyWord),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 19.7
## 2 Yes 19.3
Allvars %>%
group_by(PsychAggress) %>%
summarise_at(vars(CVLtca),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 18.0
## 2 Yes 20.0
Allvars %>%
group_by(PhysAssault) %>%
summarise_at(vars(CVLtca),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 19.6
## 2 Yes 20.6
Allvars %>%
group_by(PsychAggress) %>%
summarise_at(vars(CVLfrs),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 4.91
## 2 Yes 5.89
Allvars %>%
group_by(PhysAssault) %>%
summarise_at(vars(CVLfrs),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 5.73
## 2 Yes 5.98
Allvars %>%
group_by(PsychAggress) %>%
summarise_at(vars(CVLfrl),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 4.56
## 2 Yes 5.86
Allvars %>%
group_by(PhysAssault) %>%
summarise_at(vars(CVLfrl),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 5.63
## 2 Yes 6.06
StroopMixed %>%
group_by(PsychAggress) %>%
summarise_at(vars(StroopMixed),
list(name = mean))
## # A tibble: 2 x 2
## PsychAggress name
## <fct> <dbl>
## 1 No 29.3
## 2 Yes 33.3
StroopMixed %>%
group_by(PhysAssault) %>%
summarise_at(vars(StroopMixed),
list(name = mean))
## # A tibble: 2 x 2
## PhysAssault name
## <fct> <dbl>
## 1 No 32.6
## 2 Yes 33.8