Description Usage Arguments Value Examples
Formatiert Listen mit Modellen zu Dataframs.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | APA2_list(x, caption = "", note = "",
  output = stp25output::which_output(), custom.model.names = NULL,
  include.param = TRUE, include.gof = TRUE, include.custom = NULL,
  include.b = TRUE, include.se = TRUE, include.beta = FALSE,
  include.ci = FALSE, include.odds = FALSE, include.odds.ci = FALSE,
  include.statistic = FALSE, include.p = FALSE, include.stars = TRUE,
  include.df = FALSE, include.effects = c("ran_pars", "fixed"),
  conf.level = 0.95, conf.method = "Wald", digits = NULL,
  digits.param = 3, digits.odds = 2, digits.test = 2,
  digits.beta = 2, format = "fg", include.r = TRUE,
  include.pseudo = TRUE, include.rmse = TRUE, include.sigma = FALSE,
  include.variance = FALSE, include.devianze = FALSE,
  include.loglik = FALSE, include.test = FALSE, include.aic = TRUE,
  include.bic = include.aic, include.nobs = TRUE,
  rgroup = c("Parameter", "Goodness of fit"), test.my.fun = FALSE,
  dictionary = c(std.error = "SE", estimate = "b", p.value = "p"), ...)
 | 
| x | Regressionsobjekt | 
| caption, note, output, custom.model.names, rgroup | An Output | 
| include.param, include.gof, include.custom | Was soll ausgegeben werden | 
| include.b, include.beta, include.ci, include.odds, include.se, include.statistic, include.odds.ci, include.p, include.stars | an extract_coef | 
| include.df, include.r, include.pseudo, include.rmse, include.sigma, include.variance, include.devianze, include.loglik, include.aic, include.bic, include.nobs, include.test | An extract_gof() | 
| include.effects, test.my.fun, conf.level, conf.method | an extract_coef | 
| digits.param, digits.odds, digits.test, digits.beta, formatan | extract_coef | 
| ... | nicht benutzt | 
data.frame
| 1 2 3 4 5 6 7 8 9 10 11 12 13 | fit1 <- lm(chol0 ~ rrs0 + med, hyper)
fit2 <- lm(chol0 ~ rrs0 + med + ak, hyper)
fit3 <- lm(chol0 ~ ak + med + rrs0 , hyper)
fit4 <- lmerTest::lmer(chol0 ~ rrs0 + med +  ak  +  (1 | g) , hyper)
coefs <- APA2_list(
  list(fit1,
       fit2,
       fit3, fit4),
  include.beta = TRUE,   
  include.custom =
    data.frame(term = "M",  "A", "B", "C", "D")
)
 | 
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