calcPW: Compute pair-wise comparisons estimates and bootstrap...
In MiguelRodo/ggboot: Bootstrap univariate and multivariate plots
calcPW R Documentation
Compute pair-wise comparisons estimates and bootstrap statistics
Description
Calculates the mean or median sample estimates of all
pair-wise differences within a factor. Can be set
compute the maximum Bayes factors (MBFs) and indicate
which of the comparisons are statistically
significant after controlling the false discovery rate, if the number of bootstrap repetition (B) is set to greater than 0.
Usage
calcPW(data, calcStat, trim = 0.2, B, seB, method = "percT", fdr = FALSE)
Arguments
data
dataframe. Contains numeric variable named 'resp' for responses and character variable named 'group' containing factor levels.
calcStat
function olr character. Bootstrap statistic function. Functions other than mean or median used at own risk.
B
integer. Number of bootstrap samples per subgroup. If equal to zero, then the MBF is not calculated.
fdr
numeric. False discovery rate.
Value
A tibble of the comparison groups and estimates of differences in calcStat, as well as the confidence intervals and MBFs if bootstrapping was performed.
MiguelRodo/ggboot documentation built on Nov. 9, 2023, 5:45 p.m.
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| calcPW | R Documentation |
Compute pair-wise comparisons estimates and bootstrap statistics
Description
Calculates the mean or median sample estimates of all
pair-wise differences within a factor. Can be set
compute the maximum Bayes factors (MBFs) and indicate
which of the comparisons are statistically
significant after controlling the false discovery rate, if the number of bootstrap repetition (B) is set to greater than 0.
Usage
calcPW(data, calcStat, trim = 0.2, B, seB, method = "percT", fdr = FALSE)
Arguments
data |
dataframe. Contains numeric variable named 'resp' for responses and character variable named 'group' containing factor levels. |
calcStat |
function olr character. Bootstrap statistic function. Functions other than mean or median used at own risk. |
B |
integer. Number of bootstrap samples per subgroup. If equal to zero, then the MBF is not calculated. |
fdr |
numeric. False discovery rate. |
Value
A tibble of the comparison groups and estimates of differences in calcStat, as well as the confidence intervals and MBFs if bootstrapping was performed.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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