lressp:

In musto101/wilcox_R: What the package does (short line)

Usage

lressp(x, y, slices = 10)

Arguments

x
y
slices

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x, y, slices = 10) 
{
    q <- 5
    out <- glm(y ~ x[, 1] + x[, 2] + x[, 3] + x[, 4] + x[, 5], 
        family = binomial)
    ESP <- x %*% out$coef[-1] + out$coef[1]
    Y <- y
    plot(ESP, Y)
    abline(mean(y), 0)
    fit <- y
    fit <- exp(ESP)/(1 + exp(ESP))
    indx <- sort.list(ESP)
    lines(ESP[indx], fit[indx])
    fit2 <- fit
    n <- length(y)
    val <- as.integer(n/slices)
    for (i in 1:(slices - 1)) {
        fit2[((i - 1) * val + 1):(i * val)] <- mean(y[indx[((i - 
            1) * val + 1):(i * val)]])
    }
    fit2[((slices - 1) * val + 1):n] <- mean(y[indx[((slices - 
        1) * val + 1):n]])
    lines(ESP[indx], fit2)
  }

musto101/wilcox_R documentation built on May 23, 2019, 10:52 a.m.