#RCI for change in MHC
JTRCI(data = i3time.wide,
ppid = "id",
pre = "wellbeing.1",
post = "wellbeing.3",
reliability = .9,
indextype = "RCI", #or index type can be 'JT'
JTcrit = "auto",
higherIsBetter = T,
plottitle = "Mental Health Continuum",
plot = T,
table = T)
## reliable change classification N
## 1: reliably deteriorated 2
## 2: no reliable change 4
## 3: reliably improved 1

#RCI for change in MHC, grouped by gender
JTRCI(data = i3time.wide,
ppid = "id",
pre = "wellbeing.1",
post = "wellbeing.3",
group = "gender.f",
reliability = .9,
indextype = "RCI", #or index type can be 'JT'
JTcrit = "auto",
higherIsBetter = T,
plottitle = "Mental Health Continuum by Gender",
plot = T,
table = T,
facetplot = T)
## reliable change classification man/boy non-binary woman/girl
## 1: reliably deteriorated 2 0 0
## 2: no reliable change 1 1 2
## 3: reliably improved 1 0 0

#RCI for change in DASS
JTRCI(data = i3time.wide,
ppid = "id",
pre = "depression.1",
post = "depression.3",
reliability = .9,
indextype = "RCI", #or index type can be 'JT'
plottitle = "Depression and Anxiety",
JTcrit = "auto",
higherIsBetter = F,
plot = T,
table = T)
## reliable change classification N
## 1: reliably deteriorated 3
## 2: no reliable change 2
## 3: reliably improved 2

#RCI for change in DASS, grouped by gender
JTRCI(data = i3time.wide,
ppid = "id",
pre = "depression.1",
post = "depression.3",
group = "gender.f",
reliability = .9,
plottitle = "Depression and Anxiety by Gender",
indextype = "RCI", #or index type can be 'JT'
JTcrit = "auto",
higherIsBetter = F,
plot = T,
table = T,
facetplot = T)
## reliable change classification man/boy non-binary woman/girl
## 1: reliably deteriorated 2 0 1
## 2: no reliable change 1 0 1
## 3: reliably improved 1 1 0

JTRCI(data = i3time.wide,
ppid = "id",
pre = "sears.1",
post = "sears.3",
reliability = .9,
indextype = "RCI", #or index type can be 'JT'
plottitle = "SEARS",
JTcrit = "auto",
higherIsBetter = T,
plot = T,
table = T)
## reliable change classification N
## 1: reliably deteriorated 0
## 2: no reliable change 8
## 3: reliably improved 3

#RCI for change in SEARS, grouped by gender
JTRCI(data = i3time.wide,
ppid = "id",
pre = "sears.1",
post = "sears.3",
group = "gender.f",
plottitle = "SEARS by Gender",
reliability = .9,
indextype = "RCI", #or index type can be 'JT'
JTcrit = "auto",
higherIsBetter = T,
plot = T,
table = T,
facetplot = T)
## reliable change classification man/boy non-binary woman/girl
## 1: reliably deteriorated 0 0 0
## 2: no reliable change 3 4 1
## 3: reliably improved 1 1 1

#RCI for change in SE
JTRCI(data = i3time.wide,
ppid = "id",
pre = "self.efficacy.1",
post = "self.efficacy.3",
reliability = .9,
plottitle = "Self-Efficacy",
indextype = "RCI", #or index type can be 'JT'
JTcrit = "auto",
higherIsBetter = T,
plot = T,
table = T)
## reliable change classification N
## 1: reliably deteriorated 0
## 2: no reliable change 7
## 3: reliably improved 1

#RCI for change in SE, grouped by gender
JTRCI(data = i3time.wide,
ppid = "id",
pre = "self.efficacy.1",
post = "self.efficacy.3",
group = "gender.f",
reliability = .9,
plottitle = "Self-Efficacy by Gender",
indextype = "RCI", #or index type can be 'JT'
JTcrit = "auto",
higherIsBetter = T,
plot = T,
table = T,
facetplot = T)
## reliable change classification man/boy non-binary woman/girl
## 1: reliably deteriorated 0 0 0
## 2: no reliable change 4 2 1
## 3: reliably improved 0 0 1

# RCI on two time points
########## CHANGE IN SEARS ##########
JTRCI(data = i3time.wide,
ppid = "id",
pre = "sears.1",
post = "sears.2",
reliability = .9,
indextype = "RCI", #or index type can be 'JT'
plottitle = "SEARS",
JTcrit = "auto",
higherIsBetter = T,
plot = T,
table = T)
## NB 1 cases have missing data - these are ommitted from the calculations
## Assumed that higher scores are better (and increased scores == improvement),
## if that is incorrect: set higherIsBetter = F
## reliable change classification N
## 1: reliably deteriorated 0
## 2: no reliable change 8
## 3: reliably improved 2

########## CHANGE IN SELF EFFICACY ##########
#RCI for change in SE
JTRCI(data = i3time.wide,
ppid = "id",
pre = "self.efficacy.1",
post = "self.efficacy.2",
reliability = .9,
plottitle = "Self-Efficacy",
indextype = "RCI", #or index type can be 'JT'
JTcrit = "auto",
higherIsBetter = T,
plot = T,
table = T)
## NB 5 cases have missing data - these are ommitted from the calculations
##
## Assumed that higher scores are better (and increased scores == improvement),
## if that is incorrect: set higherIsBetter = F
## reliable change classification N
## 1: reliably deteriorated 0
## 2: no reliable change 5
## 3: reliably improved 1
