Randomize easily with different designs.
Arguments
- design
The design: either between-subject (different groups) or within-subject (repeated-measures on same people).
- Ncondition
The number of conditions you want to randomize.
- n
The desired sample size. Note that it needs to be a multiple of your number of groups if you are using
between
.- condition.names
The names of the randomized conditions.
- col.names
The desired additional column names for a runsheet.
Examples
# Specify design, number of conditions, number of
# participants, and names of conditions:
nice_randomize(
design = "between", Ncondition = 4, n = 8,
condition.names = c("BP", "CX", "PZ", "ZL")
)
#> id Condition
#> 1 1 PZ
#> 2 2 CX
#> 3 3 BP
#> 4 4 ZL
#> 5 5 ZL
#> 6 6 BP
#> 7 7 PZ
#> 8 8 CX
# Within-Group Design
nice_randomize(
design = "within", Ncondition = 4, n = 6,
condition.names = c("SV", "AV", "ST", "AT")
)
#> id Condition
#> 1 1 SV - ST - AV - AT
#> 2 2 AT - SV - ST - AV
#> 3 3 AV - AT - SV - ST
#> 4 4 SV - AT - AV - ST
#> 5 5 ST - AV - AT - SV
#> 6 6 AV - AT - ST - SV
# Make a quick runsheet
randomized <- nice_randomize(
design = "within", Ncondition = 4, n = 128,
condition.names = c("SV", "AV", "ST", "AT"),
col.names = c(
"id", "Condition", "Date/Time",
"SONA ID", "Age/Gd.", "Handedness",
"Tester", "Notes"
)
)
head(randomized)
#> id Condition Date/Time SONA ID Age/Gd. Handedness Tester Notes
#> 1 1 SV - ST - AT - AV NA NA NA NA NA NA
#> 2 2 SV - ST - AV - AT NA NA NA NA NA NA
#> 3 3 AT - ST - AV - SV NA NA NA NA NA NA
#> 4 4 AT - ST - SV - AV NA NA NA NA NA NA
#> 5 5 SV - AV - AT - ST NA NA NA NA NA NA
#> 6 6 AV - AT - SV - ST NA NA NA NA NA NA