describe {tidycomm}

Describe numeric variables

Description

Describe numeric variables by several measures of central tendency and variability. If no variables are specified, all numeric (integer or double) variables are described.

Usage

describe(data, ..., na.rm = TRUE)

Arguments

data

a tibble or a tdcmm model

...

Variables to describe (column names). Leave empty to describe all numeric variables in data.

na.rm

a logical value indicating whether NA values should be stripped before the computation proceeds. Defaults to TRUE.

Details

• N: number of valid cases (i.e., all but missing)

• Missing: number of NA cases

• M: mean average

• SD: standard deviation, sd

• Min: minimum value, min

• Q25: 25% quantile, quantile

• Mdn: median average, same as 50% quantile

• Q75: 75% quantile, quantile

• Max: maximum value, max

• Range: difference between Min and Max

• CI_95_LL: M - Q(0.975) \times \frac{SD}{\sqrt{N}} where Q(0.975) denotes Student t's stats::quantile function with a probability of 0.975 and N-1 degrees of freedom

• CI_95_UL: M + Q(0.975) \times \frac{SD}{\sqrt{N}} where Q(0.975) denotes Student t's stats::quantile function with a probability of 0.975 and N-1 degrees of freedom

• Skewness: traditional Fisher-Pearson coefficient of skewness of valid cases as per \frac{\frac{1}{N} \sum\limits_{i=1}^N (x_{i}-\overline{x})^3}{[\frac{1}{N}\sum\limits_{i=1}^N (x_{i}-\overline{x})^2]^{3/2}} where \overline{x} denotes M, following Doane & Seward (2011, p. 6, 1a). See DOI doi:10.1080/10691898.2011.11889611.

• Kurtosis: empirical sample kurtosis (i.e., standardized fourth population moment about the mean) as per \frac{\sum (x-\overline{x})^4 / N}{(\sum (x-\overline{x})^2 / N)^2}, following DeCarlo (1997, p. 292, b2). See DOI doi:10.1037/1082-989X.2.3.292.

Value

a tdcmm model

See Also

Other descriptives: describe_cat(), tab_percentiles()

Examples

WoJ %>% describe(autonomy_selection, autonomy_emphasis, work_experience)
fbposts %>% describe(n_pictures)