xgx_conf_int: 'xgx_conf_int' returns a dataframe with mean +/- confidence...

In xgxr: Exploratory Graphics for Pharmacometrics

xgx_conf_int returns a dataframe with mean +/- confidence intervals

Description

xgx_conf_int returns a dataframe with mean +/- confidence intervals

Usage

xgx_conf_int(y, conf_level = 0.95, distribution = "normal")

Arguments

y	data to compute confidence interval of
conf_level	The percentile for the confidence interval (should fall between 0 and 1). The default is 0.95, which corresponds to a 95 percent confidence interval.
distribution	The distribution which the data follow, used for calculating confidence intervals. The options are "normal", "lognormal", and "binomial". The "normal" option will use the Student t Distribution to calculate confidence intervals, the "lognormal" option will transform data to the log space first. The "binomial" option will use the binom.exact function to calculate the confidence intervals. Note: binomial data must be numeric and contain only 1's and 0's.

Value

data.frame

Examples

# default settings for normally distributed data, 95% confidence interval,  
data <- data.frame(x = rep(c(1, 2, 3), each = 20),
                   y = rep(c(1, 2, 3), each = 20) + stats::rnorm(60),
                   group = rep(1:3, 20))
xgx_conf_int(data$y)
  

xgxr documentation built on March 31, 2023, 11:46 p.m.