xgx_conf_int returns a dataframe with mean +/- confidence intervals
xgx_conf_int returns a dataframe with mean +/- confidence intervals
xgx_conf_int(y, conf_level = 0.95, distribution = "normal")
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
|
data.frame
# 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.