unite_dotwhiskers: Miscellaneous function

In avallecam/serosurvey: Serological Survey Analysis For Prevalence Estimation Under Misclassification

Miscellaneous function

Description

Miscellaneous function

Usage

unite_dotwhiskers(
  data,
  variable_dot,
  variable_low,
  variable_upp,
  digits_dot = 3,
  digits_low = 2,
  digits_upp = 3,
  decimal_to_percent = TRUE
)

serosvy_extract_posterior(data, variable)

Arguments

data	tibble or dataframe
variable_dot	point estimate
variable_low	lower interval
variable_upp	upper interval
digits_dot	digits of point estimate to round
digits_low	digits of lower interval to round
digits_upp	digits of upper interval to round
decimal_to_percent	logical to multiply values by 100. TRUE by default.
variable	variable to extract from posterior distributions

Functions

• unite_dotwhiskers: create new columns with unified point estimate and intervals with round numbers

• serosvy_extract_posterior: priorización con dos covariables

Examples

## Not run: 

library(tidyverse)

test <- rgamma(n = 1000,shape = 3,rate = 0.2) %>%
  enframe(name = NULL) %>%
  mutate(value=value/100) %>%
  skimr::skim() %>%
  as_tibble() %>%
  select(contains("mean"),contains("p25"),contains("p50"))

test %>% glimpse()

test %>%
  unite_dotwhiskers(variable_dot = numeric.mean,
                    variable_low = numeric.p25,
                    variable_upp = numeric.p50,
                    digits_dot = 3,
                    digits_low = 3,
                    digits_upp = 3)

## End(Not run)

avallecam/serosurvey documentation built on Feb. 12, 2023, 4:13 p.m.