table_one: Get Summary Table

In fastStat: Faster for Statistic Work

Description

Get the first summary table when study.

Usage

table_one(
  data,
  group,
  mean_sd,
  median_q4,
  median_range,
  count_percent,
  mean,
  median,
  max,
  min,
  sd,
  q25,
  q75,
  count,
  percent,
  round = 2,
  count.percent.direction = "v",
  t.test,
  anova,
  wilcox.test,
  kruskal.test,
  chisq.test,
  fisher.test,
  weighted,
  statistics = FALSE
)

Arguments

data	data that will be summarized
group	one or more group variable names
mean_sd	variable names for mand and standard deviation. in the results represents plus and minus
median_q4	variable names for median and 25 and 75 quantiles
median_range	variable names for median and range
count_percent	variable names for count and percentage
mean	variable names for mean
median	variable names for median
max	variable names for max
min	variable names for min
sd	variable names for standard deviation
q25	variable names for 25 quantile
q75	variable names for 75 quantile
count	variable names for count
percent	variable names for percentage
round	digital round. 2 is defaulted
count.percent.direction	calculate of direction for count, percent and count_percent arguments, which should be one of g, group, v or var, v as defaulted
t.test	two-side t test
anova	two-side anova
wilcox.test	two-side wilcox test
kruskal.test	two-side kruskal test
chisq.test	two-side chisq test
fisher.test	two-side fisher test
weighted	weight for data
statistics	a logical object. TRUE to display the statistic information. Default is FALSE

Value

a summary matrix

Examples

table_one(data = mtcars,group='vs',
          mean_sd = 'wt',
          count_percent  = c('gear','am')
)

table_one(data = mtcars,
group='vs',

mean_sd = 'wt',
t.test = 'wt',

count_percent  = c('gear','am','cyl'),
chisq.test = c('am','gear'),
fisher.test = c('cyl'),

round = 3
)

fastStat documentation built on Jan. 13, 2021, 7:32 a.m.