Nothing
distill <- function(x, ...) {
UseMethod("distill", x)
} # end of 'distill' function.
distill.list <- function(x, ...) {
out <- c(unlist(x))
return(out)
} # end of 'distill.list' function.
distill.matrix <- function(x, ...) {
rn <- rownames(x)
cn <- colnames(x)
xdim <- dim(x)
if(is.null(rn)) rn <- as.character(1:xdim[1])
if(is.null(cn)) cn <- as.character(1:xdim[2])
nm <- paste(rep(rn, xdim[2]), rep(cn, each=xdim[1]), sep=":")
out <- c(x)
names(out) <- nm
return(out)
} # end of 'distill.matrix' function.
distill.data.frame <- function(x, ...) {
rn <- rownames(x)
cn <- colnames(x)
xdim <- dim(x)
if(is.null(rn)) rn <- as.character(1:xdim[1])
if(is.null(cn)) cn <- as.character(1:xdim[2])
rownames(x) <- rn
colnames(x) <- cn
out <- c(unlist(x))
return(out)
} # end of 'distill.data.frame' function.
is.formula <- function(x) return(is.element("formula", class(x)))
datagrabber <- function(x, ...) {
UseMethod("datagrabber", x)
} # end of 'datagrabber' function.
ci <- function(x, alpha=0.05, ...) {
UseMethod("ci", x)
} # end of 'ci' function.
ci.numeric <- function(x, alpha=0.05, ...) {
n <- length(x)
m <- mean(x, ...)
se.m <- sqrt(var(x, ...)/n)
z.alpha <- qnorm(alpha/2, lower.tail=FALSE)
out <- c(m - z.alpha * se.m, m, m + z.alpha * se.m)
conf.level <- paste(round((1 - alpha)*100, digits=2), "%", sep="")
names(out) <- c(paste(conf.level, " lower CI", sep=""), "mean", paste(conf.level, " upper CI", sep=""))
attr(out, "data.name") <- deparse(substitute(x))
attr(out, "method") <- "Normal Approximation"
attr(out, "conf.level") <- (1 - alpha) * 100
class(out) <- "ci"
return(out)
} # end of 'ci.numeric' function.
ci.matrix <- function(x, alpha=0.05, ...) {
n <- dim(x)[1]
m <- apply(x, 2, mean, ...)
se.m <- sqrt(apply(x, 2, var, ...)/n)
z.alpha <- qnorm(alpha/2, lower.tail=FALSE)
out <- cbind(m - z.alpha * se.m, m, m + z.alpha * se.m)
conf.level <- paste(round((1 - alpha)*100, digits=2), "%", sep="")
colnames(out) <- c(paste(conf.level, " lower CI", sep=""), "mean", paste(conf.level, " upper CI", sep=""))
attr(out, "data.name") <- deparse(substitute(x))
attr(out, "method") <- "Normal Approximation"
attr(out, "conf.level") <- (1 - alpha) * 100
class(out) <- "ci"
return(out)
} # end of 'ci.matrix' function.
print.ci <- function(x, ...) {
tmp <- attributes(x)
print(tmp$data.name)
cat("\n")
print(tmp$method)
if(!is.null(tmp$R)) cat(tmp$R, " iterations\n")
cat("\n")
if(!is.matrix(x)) {
print(paste(names(c(x))[2], ": ", round(x[2], digits=3), sep=""))
cat("\n")
print(paste(tmp$conf.level, "% Confidence Interval: (", round(x[1], digits=4), ", ", round(x[3], digits=4), ")", sep=""))
} else {
y <- x
attributes(y) <- NULL
y <- matrix(y, tmp$dim[1], tmp$dim[2])
colnames(y) <- tmp$dimnames[[2]]
rownames(y) <- tmp$dimnames[[1]]
print(y)
}
cat("\n")
invisible()
} # end of 'print.ci' function.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.