describe | R Documentation |
Describe numeric variables by several measures of central tendency and variability. If no variables are specified, all numeric (integer or double) variables are described.
describe(data, ..., na.rm = TRUE)
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 |
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 \Sexpr[results=rd]{tools:::Rd_expr_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 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/1082-989X.2.3.292")}.
a tdcmm model
Other descriptives:
describe_cat()
,
tab_percentiles()
WoJ %>% describe(autonomy_selection, autonomy_emphasis, work_experience)
fbposts %>% describe(n_pictures)
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