diag.test | R Documentation |
mesures de clasificació
diag.test(pred, y, tag.healthy = levels(y)[1], nround = 2)
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 |
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
Miriam Mota mmota.foix@gmail.com
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)
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