# conf.interval

0th

Percentile

##### Confidence interval for mean or median

Calculates confidence interval for the mean or median of a distribution with unknown population variance

##### Usage
conf.interval(x, cl = 0.95, stat = "mean", std.error = TRUE)
##### Arguments
x

Vector to calculate confidence interval for

cl

Percent confidence level (default = 0.95)

stat

Statistic (mean or median)

std.error

Return standard error (TRUE/FALSE)

##### Value

lci Lower confidence interval value

uci Upper confidence interval value

mean If stat = "mean", mean value of distribution

mean Value of the mean or median

conf.level Confidence level used for confidence interval

std.error If std.error = TRUE standard error of distribution

##### Aliases
• conf.interval
##### Examples
# NOT RUN {
x <- runif(100)
cr <- conf.interval(x, cl = 0.97)
print(cr)

d <- density(x)
plot(d, type="n", main = "PDF with mean and 0.97 confidence interval")
polygon(d, col="cyan3")
abline(v=mean(x, na.rm = TRUE), lty = 2)
segments( x0=cr[["lci"]], y0=mean(d$y), x1=cr[["uci"]], y1=mean(d$y), lwd = 2.5,
col = "black")
legend("topright", legend = c("mean", "CI"),
lty = c(2,1), lwd = c(1,2.5))

# }

Documentation reproduced from package spatialEco, version 1.3-2, License: GPL-3

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