conf.interval

From spatialEco v1.3-2 by Jeffrey S Evans

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

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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