summary.quanti: A summary.quanti Function

In uebvhir/anaStatsUEB: Statistical analysis function, Statistics and Bioinformatics Unit (UEB, VHIR)

A summary.quanti Function

Description

DESCRIPCIO DE LA FUNCIO

Usage

## S3 method for class 'quanti'
summary(
  data,
  x,
  group = NULL,
  method = "param",
  format = "html",
  nround = 1,
  test = NULL,
  show.pval = TRUE,
  show.all = TRUE,
  show.n = TRUE,
  show.stat = FALSE,
  prep2sum = FALSE,
  prep.tab = FALSE,
  sub.ht = TRUE,
  paired = FALSE,
  idvar = NULL,
  var.tidy = TRUE
)

Arguments

data	data frame, list or environment (or object coercible by 'as.data.frame' to a data frame) containing the variables in the model. If they are not found in 'data', the variables are taken from 'environment(formula)'.
x	numeric or integer variable
group	factor variable. Outcome
method	character string indicating the method to test use; possible values are 'param' or 'nonparam'. Default values is 'param'.
format	a character string; possible values are ht, r, no. Default value is "ht".
nround	integer indicating the number of decimal places (round) or significant digits (signif) to be used. Negative values are allowed (see ‘Details’). Default value is 2.
test	character strin indicating the test to use. Possible values are 'anova','t.test','wilcox','kruskal'. Default value is NULL
show.pval	logical indicating whether p-value of overall groups significance ('p.overall' column) is displayed or not. Default value is TRUE.
show.all	logical indicating whether the 'ALL' column (all data without stratifying by groups) is displayed or not. Default value is FALSE if grouping variable is defined, and FALSE if there are no groups.
show.n	ogical indicating whether number of individuals analyzed for each row-variable is displayed or not in the 'descr' table. Default value is TRUE.
prep2sum	logical value. prepara la taula de sortida per a la funció desc_group. Default value is FALSE
prep.tab	logical value. prepara la taula de sortida per a la funció desc_quanti Default value is FALSE
byrow	logical or NA. Percentage of categorical variables must be reported by rows (TRUE), by columns (FALSE) or by columns and rows to sum up 1 (NA). Default value is FALSE, which means that percentages are reported by columns (withing groups).

Examples

 #  set.seed(1)
 # data <- df <- data.frame(id = c(1:13,1:13), MUT = factor(c(rep("A", 13),rep("B",13))),
 #                          var = rnorm(26))

 # summary.quanti(x = "var", data = df)
 # tab <- summary.quanti(x = "var",group = "MUT",data = df)
 # tab <- summary.quanti(x = "var",group = "MUT",data = df,method = "non-param")
 # tab <- summary.quanti(x = "var",group = "MUT",data = df, idvar = "id", paired =TRUE)
 # tab <- summary.quanti(x = "var",group = "MUT",data = df, idvar = "id", paired =TRUE,method = "non-param")
 # kable(tab$summary,escape = F, row.names = F,align = "c", caption = c(paste(tab$txt_caption, tab$txt_test)) ) %>%
 #   kable_styling(latex_options = c("striped","hold_position", "repeat_header"), full_width = F, font_size = 14) %>%
 #   row_spec(0,background = "#993489", color = "white")
 # mtc_bis %>% summary.quanti( x = qsec)
 # summary.quanti( mtc_bis, x = qsec)$summary %>% kable_ueb()
 # mtc_bis %>% summary.quanti( x = "qsec")
 # summary.quanti( mtc_bis, x = "qsec")
 # mtc_bis %>% summary.quanti( x = qsec, group = vs)
 # summary.quanti( mtc_bis, x = qsec, group = vs)
 # mtc_bis %>% summary.quanti( x = "qsec", group = "vs")
 # summary.quanti( mtc_bis, x = "qsec", group = "vs")

uebvhir/anaStatsUEB documentation built on May 6, 2023, 3:46 a.m.