The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
printGM()printGM() with WsMed()The WsMed() function returns a list containing
sem_model. printGM() can automatically extract
and format the model equations.
library(wsMed)
result1 <- wsMed(
data = example_data,
M_C1 = c("A1","B1","C1"),
M_C2 = c("A2","B2","C2"),
Y_C1 = "D1",
Y_C2 = "D2",
form = "P",
Na = "DE",
standardized = TRUE,
bootstrap = 1000,
iseed = 123
)
printGM(result1)##
## Outcome Difference Model (Ydiff):
## Ydiff ~ cp*1 + b1*M1diff + d1*M1avg + b2*M2diff + d2*M2avg + b3*M3diff + d3*M3avg
##
## Mediator Difference Model (Chained Mediator - M1diff):
## M1diff ~ a1*1
##
## Mediator Difference Model (Other Mediators):
## M2diff ~ a2*1
## M3diff ~ a3*1
##
## Indirect Effects:
## indirect_1 := a1 * b1
## indirect_2 := a2 * b2
## indirect_3 := a3 * b3
##
## Total Indirect Effect:
## total_indirect := indirect_1 + indirect_2 + indirect_3
##
## Total Effect:
## total_effect := cp + total_indirect
If you already have preprocessed data, you can directly generate the SEM model syntax using GenerateModelPC() or other GenerateModel*() functions.
# Load necessary packages
library(wsMed)
# Load example data
data(example_data)
# Prepare data
prepared_data <- PrepareData(
data = example_data,
M_C1 = c("A1", "B1"),
M_C2 = c("A2", "B2"),
Y_C1 = "C1",
Y_C2 = "C2"
)
# Generate Model
sem_model <- GenerateModelPC(prepared_data)
# print Model equations
printGM(sem_model)##
## Outcome Difference Model (Ydiff):
## Ydiff ~ cp*1 + b1*M1diff + d1*M1avg + b2*M2diff + d2*M2avg
##
## Mediator Difference Model (Chained Mediator - M1diff):
## M1diff ~ a1*1 + b_2_1*M2diff + d_2_1*M2avg
##
## Mediator Difference Model (Other Mediators):
## M2diff ~ a2*1
##
## Indirect Effects:
## indirect_1 := a1 * b1
## indirect_2 := a2 * b2
## indirect_2_1 := a2 * b_2_1 * b1
##
## Total Indirect Effect:
## total_indirect := indirect_1 + indirect_2 + indirect_2_1
##
## Total Effect:
## total_effect := cp + total_indirect
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.