If this is changed from the default then the domain over which the logistic regression model is plotted will change. ) ArgumentsĪ vector of length two to control the x-axis in the logistic regression plot. Yaxis2.show = TRUE, col.mdl = "red", lwd = 2, lty = 1, Ylab = names(object$model), main = "", plot.pts = TRUE,Ĭol.pt = "black", transparency = NULL, plot.p = TRUE,īreaks = 25, p.col = "blue", p.pch = 3, p.cex = 1, )įitPlot(object, xlab = names(object$model), Legend.lbls = c("Group 1", "Group 2"), ylab = names(mdl$model), Jittered = FALSE, ylim = NULL, legend = FALSE, "red"), col.mdl = col.pt, lwd = 2, lty = 1, plot.pts = TRUE, Xlab = object$Enames], ylab = object$Rname, main = "", )įitPlot(object, which, change.order = FALSE, Ylab = object$Rname, main = "", type = "b", pch = 16, lty = 1,Ĭol = "black", interval = TRUE, conf.level = 0.95,Ĭi.fun = iCIfp(conf.level), col.ci = col, lty.ci = 1. Xlab = object$Enames, ylab = object$Rname, main = "". )įitPlot(object, plot.pts = TRUE, pch = 16,Ĭol.pt = "black", col.mdl = "red", lwd = 3, lty = 1, Supported objects are linear models from simple linear regression (SLR), indicator variable regression (IVR), one-way ANOVA, or two-way ANOVA models general linear models that are logistic regressions with a binary response and non-linear regression with a single numerical response variable, at least one continuous explanatory variable and up to two group-factor explanatory variables. DescriptionĪ generic function for constructing a fitted model plot for an lm, glm, or nls object. FitPlot: Fitted model plot for an lm, glm, or nls object.
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