tidystats (version 0.3)

add_stats_to_model: Add statistical output to a model in a tidy stats list

Description

add_stats_to_model adds output to a model in a tidy results list. Sometimes you have to run additional analyses on the output of a statistical test, so you want to add these results to an existing model in a tidy stats list.

Usage

add_stats_to_model(results, output, identifier, class = NULL)

Arguments

results

A tidystats list.

output

Output of a statistical test.

identifier

A character string identifying the model.

class

A character string to indicate which function was used to produce the output. See 'Details' for a list of supported functions.

Details

Supported classes are: - confint

Examples

# NOT RUN {
# Create an empty list to store the results in
results <- list()

# Conduct a regression analysis
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)

model <- lm(weight ~ group)

# Add output to the results list
results <- add_stats(results, model, identifier = "M1")

# Get confidence intervals of the model
model_CIs <- confint(model)

# Add it to the results list
results <- add_stats_to_model(results, model_CIs, identifier = "M1",
  class = "confint")

# }