Description Usage Arguments Value
Diese Funktion meine Version von tidy.
ANOVA - Methode ueber broom::tidy
Regression - Methode ueber basr::summary (lm und glm)
lmerTest::lmer returns an object of class 'lmerModLmerTest' (previously 'merModLmerTest') to clarify that 'lmerModLmerTest' extends 'lmerMod' <e2><80><93> not 'merMod'. The merMod class includes generalized and nonlinear mixed models and lmerTest is only designed for linear mixed models.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | Ordnen(x, ...)
## Default S3 method:
Ordnen(x, test.my.fun = FALSE, ...)
## S3 method for class 'anova'
Ordnen(x, ...)
## S3 method for class 'aov'
Ordnen(x, include.eta = TRUE, include.sumsq = TRUE,
include.meansq = FALSE, test.my.fun = FALSE, ...)
## S3 method for class 'lm'
Ordnen(x, include.b = TRUE, include.se = TRUE,
include.beta = FALSE, include.ci = FALSE, include.r = TRUE,
include.ftest = FALSE, ci.level = 0.95, test.my.fun = FALSE, ...)
## S3 method for class 'glm'
Ordnen(x, include.b = TRUE, include.se = TRUE,
include.ci = FALSE, include.odds = TRUE,
include.odds.ci = include.ci, include.rr = FALSE,
include.rr.ci = include.ci, include.b.ci = include.ci,
include.test = "lrt", include.r = TRUE, include.pseudo = include.r,
include.loglik = TRUE, ci.level = 0.95, digits = 2,
test.my.fun = FALSE, ...)
## S3 method for class 'merModLmerTest'
Ordnen(x, include.b = TRUE, include.se = TRUE,
include.beta = FALSE, include.ci = FALSE, include.odds = FALSE,
ci.level = 0.95, ...)
## S3 method for class 'lmerModLmerTest'
Ordnen(x, include.b = TRUE,
include.se = TRUE, include.beta = FALSE, include.ci = FALSE,
include.odds = FALSE, ci.level = 0.95, test.my.fun = FALSE, ...)
## S3 method for class 'polr'
Ordnen(x, digits = 2, include.b = TRUE,
include.se = TRUE, include.ci = FALSE, include.odds = TRUE,
test.my.fun = FALSE, ...)
|
x |
Objekt |
... |
weitere Objekte nicht benutzt |
include.eta |
Eta Quadrat |
include.sumsq, include.meansq |
Quadrat- Summen |
include.b |
Estimate |
include.se |
SE Standardfehler |
include.beta |
standartisiertes beta |
include.ci, ci.level |
95-CI mit ci-Level |
include.b.ci, include.odds, include.rr.ci |
95 Konfidenzintervalle |
rr |
RR Relatives Risiko |
ein data.frame-Ojekt oder eine Liste von data.frames. Im Attribut N sind die Stichprobengroesse und notes
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