Compare bootstrapped distributions
Not usually called directly. Included in boot_predict. Usually used in combination with A function that takes the output from summary_factorlist(...,
fit_id=TRUE) and merges with any number of model dataframes, usually
produced with a model wrapper followed by the fit2df() function
(see examples).
boot_compare(bs.out, confint_sep = " to ", comparison = "difference", condense = TRUE, compare_name = NULL, digits = c(2, 3), ref_symbol = 1)
bs.out |
Output from |
confint_sep |
String separating lower and upper confidence interval |
comparison |
Either "difference" or "ratio". |
condense |
Logical. FALSE gives numeric values, usually for plotting. TRUE gives table for final output. |
compare_name |
Name to be given to comparison metric. |
digits |
Rounding for estimate values and p-values, default c(2,3). |
ref_symbol |
Reference level symbol |
A dataframe of first differences or ratios for boostrapped distributions of a metric of interest.
finalfit predict functions
# See boot_predict.
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