simulateDataAnova: Suitable for ANOVA: The function "simulateDataAnova"...
In rjbderooij/blindData_Git: Blind Data
Description
Usage
Arguments
Value
View source: R/simulateDataAnova.R
Description
Suitable for ANOVA:
The function "simulateDataAnova" simulates experimental data for a 2x2 ANOVA
analysis. The function returns a data.frame "df_sim_anova" with three variables:
one numeric dependent variable "score" and two independent factor variables
"conflic" and "expert". By default, the function simulates 50 (cell.size = 50)
cases per group; with 4 groups (i.e., 2x2 design) this yields 200 cases. This
simulation is made to resemble a dataset from a psychological study.
Usage
1
simulateDataAnova(cell.size = 50)
Arguments
cell.size
# number of cases to simulate per cell (i.e., group
combination)
Value
df_sim_anova = cell.size*4 length data.frame with variables in two
colums:
rjbderooij/blindData_Git documentation built on Dec. 20, 2020, 5:17 a.m.
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Description Usage Arguments Value
View source: R/simulateDataAnova.R
Description
Suitable for ANOVA: The function "simulateDataAnova" simulates experimental data for a 2x2 ANOVA analysis. The function returns a data.frame "df_sim_anova" with three variables: one numeric dependent variable "score" and two independent factor variables "conflic" and "expert". By default, the function simulates 50 (cell.size = 50) cases per group; with 4 groups (i.e., 2x2 design) this yields 200 cases. This simulation is made to resemble a dataset from a psychological study.
Usage
1 | simulateDataAnova(cell.size = 50)
|
Arguments
cell.size |
# number of cases to simulate per cell (i.e., group combination) |
Value
df_sim_anova = cell.size*4 length data.frame with variables in two colums:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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