diag.test: A diag.test Function

In miriamMota/mmotaF: Primer paquet, funcions R habituals

A diag.test Function

Description

mesures de clasificació

Usage

diag.test(pred, y, tag.healthy = levels(y)[1], nround = 2)

Arguments

pred	variable factor outcome predit.
y	variable factor outcome original
tag.healthy	the value codifying healthy individuals in the status variable. Por defecto nivel de referencia levels(dat[,group])[1]
nround	integer indicating the number of decimal places (round) or significant digits (signif) to be used. Negative values are allowed

Value

variable$table: tabla 2x2 de la predicción y referencia.

variable$positive.class: factor level that corresponds to a "positive" result (if that makes sense for your data)

summary: taula detallada amb totes les mesures de classificació per a cada una de les variables

Author(s)

Miriam Mota [e-mail]

Examples

# data(aSAH)
# res_roc <- doROC (frml = outcome ~ s100b, title = 'prova1',
# cex.main = 0.6, dat = aSAH, modGLM = TRUE)
# diag.test(y = aSAH$outcome, pred = res_roc$dat$outcome.predict, tag.healthy = "Good"  )

# df_pred <- data.frame(p1 = res_roc$dat$outcome.predict,
# p2 = factor(ifelse(aSAH$s100b >= 0.3, levels(aSAH$outcome)[2], levels(aSAH$outcome)[1]  )))
# diag.test(y = aSAH$outcome, pred = df_pred)

miriamMota/mmotaF documentation built on June 15, 2025, 11:35 a.m.