fundescribe: A Convenient Way of Descriptive Statistics In EasyDescribe: A Convenient Way of Descriptive Statistics

 fundescribe R Documentation

A Convenient Way of Descriptive Statistics

Description

This function can perform descriptive statistics according to different data types.

Usage

``````fundescribe(x, y, data = NULL, na.rm = TRUE, norm.t = NULL)
``````

Arguments

 `x` A vector or a factor. A continuous variable or a categorical variable. `y` A vector or a factor. A continuous variable or a categorical variable. `data` An optional parameter, the name of the data containing x and y. `na.rm` An optional parameter, if FALSE, the information of NA will be given. `norm.t` An optional parameter, there are seven normal test methods available: c("ks.test", "shapiro.test", "cvm.test", "lillie.test", "pearson.test", "sf.test", "ad.test").

Details

This function can perform descriptive statistics according to different data types. If the data is a continuous variable, the mean and standard deviation or median and quartiles are automatically output; if the data is a categorical variable, the number and percentage are automatically output. In addition, if you enter two variables in this function, the two variables will be described and their relationships will be tested automatically according to their data types. For example, if one of the two input variables is a categorical variable, another variable will be described hierarchically based on the categorical variable and the statistical differences between different groups will be compared using appropriate statistical methods. And for groups of more than two, the post hoc test will be applied.

Value

No return value, called for side effects.

Author(s)

Xiuquan Nie, niexiuquan1995@foxmail.com

References

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Patefield, W. M. (1981) An efficient method of generating r x c tables with given row and column totals. Applied Statistics, 30, 91-97. \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.2307/2346669")}

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Copenhaver, M. D. and Holland, B. S. (1988) Computation of the distribution of the maximum studentized range statistic with application to multiple significance testing of simple effects. Journal of Statistical Computation and Simulation, 30, 1-15. \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1080/00949658808811082")}

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Examples

``````data(T2D)
fundescribe(T2D\$age, norm.t = c("lillie.test"))
fundescribe(gender, data = T2D)
fundescribe(education, diabetes, data = T2D)
fundescribe(glucose, age, data = T2D)
fundescribe(T2D\$glucose, T2D\$diabetes)
``````

EasyDescribe documentation built on April 16, 2023, 9:19 a.m.