groupwisePercentile {rcompanion} | R Documentation |
Groupwise percentiles and confidence intervals
Description
Calculates percentiles and confidence intervals for groups.
Usage
groupwisePercentile(
formula = NULL,
data = NULL,
var = NULL,
group = NULL,
conf = 0.95,
tau = 0.5,
type = 7,
R = 5000,
boot = FALSE,
basic = FALSE,
normal = FALSE,
percentile = FALSE,
bca = TRUE,
digits = 3,
...
)
Arguments
formula |
A formula indicating the measurement variable and the grouping variables. e.g. y ~ x1 + x2. |
data |
The data frame to use. |
var |
If no formula is given, the measurement variable to use. The name is in double quotes. |
group |
The grouping variable to use. The name is in double quotes. Multiple names are listed as a vector. (See example.) |
conf |
The confidence interval to use. |
tau |
The percentile to use, expressed as a quantile, e.g. 0.5 for median, 0.25 for 25th percentile. |
type |
The |
R |
The number of bootstrap replicates to use for bootstrapped statistics. |
boot |
If |
basic |
If |
normal |
If |
percentile |
If |
bca |
If |
digits |
The number of significant figures to use in output. |
... |
Other arguments passed to the |
Details
The input should include either formula
and data
;
or data
, var
, and group
. (See examples).
With some options, the function may not handle missing values well.
This seems to happen particularly with bca = TRUE
.
Value
A data frame of requested statistics by group
Note
The parsing of the formula is simplistic. The first variable on the left side is used as the measurement variable. The variables on the right side are used for the grouping variables.
Results for ungrouped (one-sample) data can be obtained by either
setting the right side of the formula to 1, e.g. y ~ 1, or by
setting group=NULL
.
Author(s)
Salvatore Mangiafico, mangiafico@njaes.rutgers.edu
References
https://rcompanion.org/handbook/F_15.html
See Also
groupwiseMean
,
groupwiseHuber
,
groupwiseGeometric
,
groupwiseMedian
Examples
### Example with formula notation
data(Catbus)
groupwisePercentile(Steps ~ Teacher + Gender,
data = Catbus,
tau = 0.25,
bca = FALSE,
percentile = TRUE,
R = 1000)
### Example with variable notation
data(Catbus)
groupwisePercentile(data = Catbus,
var = "Steps",
group = c("Teacher", "Gender"),
tau = 0.25,
bca = FALSE,
percentile = TRUE,
R = 1000)