View source: R/modelsSummary.R
modelsSummary | R Documentation |
Make Summary for Model Coefficients
modelsSummary(
fit = NULL,
labels = NULL,
vars = NULL,
moderator = NULL,
covar = NULL,
serial = FALSE,
data = NULL,
prefix = "b",
constant = "iy",
autoPrefix = TRUE
)
fit |
A list of objects of class lm |
labels |
optional list |
vars |
optional list |
moderator |
optional list |
covar |
optional list |
serial |
logical |
data |
optional data.frame |
prefix |
A character |
constant |
A string vector |
autoPrefix |
logical automatic numbering of prefix |
A data.frame
fit1=lm(mpg~wt,data=mtcars)
fit2=lm(mpg~wt*hp*am,data=mtcars)
fit=list(fit1,fit2)
labels=list(Y="mpg",X="wt",W="hp",Z="am")
modelsSummary(fit,labels=labels)
labels=list(Y="withdraw",M="affect",X="estress")
covar=list(name=c("ese","sex","age"),site=list(c("M","Y"),c("M","Y"),c("M","Y")))
modelsSummary(labels=labels,covar=covar,data=estress)
labels=list(X="dysfunc",M="negtone",W="negexp",Y="perform")
moderator=list(name="negexp",site=list(c("a","b","c")))
eq=tripleEquation(labels=labels,moderator=moderator,data=teams,mode=1)
fit=eq2fit(eq,data=teams)
modelsSummary(fit,labels=labels)
labels=list(X="cond",M="pmi",Y="reaction")
modelsSummary(labels=labels,data=pmi)
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