Les fonctions de la library "EpiConcepts"

Nom de la Fonction

Syntax d'utilisation

Description

CC

CC(x, exposure = "", exact = FALSE, where = vector(), title = "")

cc is used with case-control and cross-sectional data. Point estimates and confidence intervals for the odds ratio are calculated, along with attributable or prevented fractions for the exposed and total population.

CCInter

CCInter(x, exposure = "", by = "")

Do a bivariate stratified analysis, presenting results (OR and 95 percent CI) for each stratum and adjusted result. In addition an additive interaction table is constructed

CCTable

CCTable(x, exposure = list(), exact = TRUE, rr = FALSE, ar = FALSE, pvalue = TRUE)

CS

CS(x, exposure = "", exact = FALSE, where = vector(), title = "")

CSInter

CSInter(x, exposure = "", by = "")

CSTable

CSTable(x, exposure = list(), exact = FALSE, rr = FALSE, ar = FALSE, pvalue = TRUE)

ec.agePyramid

ec.agePyramid(varage, vary, agecut = 0, agemin = 0, agemax = 100)

ec.epiCurve

ec.epiCurve(vardate, type = "date", cut = "day")

ec.freq

ec.freq(x, by = NULL, where = NULL)

Descriptive Statistiques : Frequency of a variable

ec.histogram

ec.histogram(x, by = "", discrete = FALSE, start = Inf, binwidth = 0)

ec.Labels

ec.Labels(x, to = "", labels = list())

DataFrame Tools : (Re)Set labels

ec.max

ec.max(x)

Descriptive Statistiques : Maxima

ec.mean

ec.mean(x)

Descriptive Statistiques : Arithmetic Mean

ec.median

ec.median(x)

Descriptive Statistiques : Median Value

ec.min

ec.min(x)

Descriptive Statistiques : Minima

ec.Missing.check

ec.Missing.check(vars = vector(), sort = sort)

ec.Move

ec.Move(tomove, where = "last", target = NULL)

DataFrame Tools : Move a column

ec.pie

ec.pie(x, y = "")

ec.proportion

ec.proportion(c)

Descriptive Statistiques :

ec.Recode

ec.Recode(x, where, by, gen = "")

DataFrame Tools : Recode the content of a column

ec.Rename

ec.Rename(str1, str2)

DataFrame Tools : Renaming a column

ec.Save

ec.Save(name)

ec.summary

ec.summary(x, detail)

Descriptive Statistics : Summary of a variable

ec.tabulate

ec.tabulate(x, nolabel, missing)

Descriptive Statistics : TODO

ec.Use

ec.Use(df, extension)

ec.variance

ec.variance(x)

Plot

Plot(this, ...)

Plot-method

data.frame, ec.agePyramid, ec.epiCurve, ec.histogram, Pie

~~ Methods for Function 'Plot' ~~

Plot-methods

data.frame, ec.agePyramid, ec.epiCurve, ec.histogram, Pie

~~ Methods for Function 'Plot' ~~

Tiramitsu

data(Tiramitsu)

A TIAC Dataset

VAL

VAL(varname)

A data frame with 291 observations on the following 21 variables