groupwiseGeometric | R Documentation |
Calculates geometric means and confidence intervals for groups.
groupwiseGeometric(
formula = NULL,
data = NULL,
var = NULL,
group = NULL,
conf = 0.95,
na.rm = TRUE,
digits = 3,
...
)
formula |
A formula indicating the measurement variable and the grouping variables. e.g. y ~ x1 + x2. |
data |
The data frame to use. |
var |
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. |
na.rm |
If |
digits |
The number of significant figures to use in output. |
... |
Other arguments. Not currently used. |
The input should include either formula
and data
;
or data
, var
, and group
. (See examples).
The function computes means, standard deviations, standard errors, and confidence intervals on log-transformed values. Confidence intervals are calculated in the traditional manner with the t-distribution on the transformed values, and then back-transforms the confidence interval limits. These statistics assume that the data are log-normally distributed. For data not meeting this assumption, medians and confidence intervals by bootstrap may be more appropriate.
A data frame of geometric means, standard deviations, standard errors, and confidence intervals.
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
.
Salvatore Mangiafico, mangiafico@njaes.rutgers.edu
https://rcompanion.org/handbook/C_03.html
groupwiseMean
,
groupwiseMedian
,
groupwiseHuber
### Example with formula notation
data(Catbus)
groupwiseGeometric(Steps ~ Gender + Teacher,
data = Catbus)
### Example with variable notation
data(Catbus)
groupwiseGeometric(data = Catbus,
var = "Steps",
group = c("Gender", "Teacher"))
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