Nothing
.cr.main <-
function(x, y, brief, ...) {
# get variable labels if exist
gl <- .getlabels()
x.name <- gl$xn; x.lbl <- gl$xl;
y.name <- gl$yn; y.lbl <- gl$yl
if (!is.factor(x)) {
ct <- cor.test(x,y, ...)
if (ct$method == "Pearson's product-moment correlation") {
c.type <- "pearson"
sym <- "r"
}
else if (ct$method == "Spearman's rank correlation rho") {
c.type <- "spearman"
sym <- names(ct$estimate)
}
else if (ct$method == "Kendall's rank correlation tau") {
c.type <- "kendall"
sym <- names(ct$estimate)
}
if (c.type == "pearson") sym.pop <- "Correlation" else sym.pop <- sym
if (ct$alternative == "two.sided")
h.txt <- "not equal to"
else if (ct$alternative == "less")
h.txt <- "less than"
else if (ct$alternative == "greater")
h.txt <- "greater than"
tvalue <- round(ct$statistic, 3)
df <- ct$parameter
pvalue <- round(ct$p.value, 3)
coef <- round(ct$estimate, 3)
null <- ct$null.value
if (c.type == "pearson") {
lb <- round(ct$conf.int[1], 3)
ub <- round(ct$conf.int[2], 3)
clpct <- "95%"
}
# background
tx <- character(length = 0)
if (!brief) {
txt <- paste("Correlation Analysis for Variables", x.name, "and", y.name)
tx[length(tx)+1] <- txt
tx[length(tx)+1] <- " "
# tx[length(tx)+1] <- .dash2(nchar(txt))
}
tx[length(tx)+1] <- paste("--- ", ct$method, " ---", sep="")
if (!is.null(x.lbl) || !is.null(y.lbl)) {
tx[length(tx)+1] <- ""
if (!is.null(x.lbl))
tx[length(tx)+1] <- paste(x.name, ": ", as.character(x.lbl), sep="")
else
tx[length(tx)+1] <- paste(x.name)
if (!is.null(y.lbl))
tx[length(tx)+1] <- paste(y.name, ": ", as.character(y.lbl), sep="")
else
tx[length(tx)+1] <- paste(y.name)
}
n.pair <- sum(!is.na(x - y)) # number of points after pairwise deletion
tx[length(tx)+1] <- ""
tx[length(tx)+1] <- paste("Number of paired values with neither",
"missing, n =", n.pair)
if (!brief) {
n.del <- sum(is.na(x - y)) # number of pairwise deleted observations
tx[length(tx)+1] <- paste("Number of cases (rows of data) deleted:",
n.del)
}
txb <- tx
# descriptive
tx <- character(length = 0)
if (!brief) {
if (c.type == "pearson") {
covr <- cov(x, y, use="pairwise.complete.obs")
tx[length(tx)+1] <- paste("Sample Covariance: s =", .fmt(covr,3))
tx[length(tx)+1] <- ""
}
tx[length(tx)+1] <- paste("Sample Correlation: ", sym, " = ",
.fmt(ct$estimate,3), sep="")
}
else
tx[length(tx)+1] <- paste("Sample Correlation of ", x.name, " and ",
y.name, ": ", sym, " = ", .fmt(ct$estimate,3), sep="")
txd <- tx
# inferential
tx <- character(length = 0)
mytitle <- paste("Hypothesis Test of 0 ", sym.pop, ": t = ", sep="")
tx[length(tx)+1] <- paste(mytitle, .fmt(tvalue,3), ", df = ", df,
", p-value = ", .fmt(pvalue,3), sep="")
if (c.type == "pearson") {
tx[length(tx)+1] <- paste(clpct," Confidence Interval for Correlation: ",
.fmt(lb,3), " to ", .fmt(ub,3), sep="")
}
else {
df <- NA; lb <- NA; ub <- NA
}
txi <- tx
}
return(list(txb=txb, txd=txd, txi=txi,
r=round(ct$estimate,3), tvalue=round(ct$statistic,3),
df=df, pvalue=round(ct$p.value,3), lb=lb, ub=ub))
}
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