![]() ![]() Geom_line(aes(y = effect + 1.96 *se. For arg(z) 0, the color is green, for arg(z) pi/2 its blue, for arg(z) -pi / 2 its orange, and for arg(z) pi its pink. # use ggplot2 instead of base graphics ggplot(tmp, aes(x = Petal.Width, y = "effect" )) + What = "effect", n = 10, draw = FALSE ) You need to recompile the z80.lib library with USEFLOATS1 set in printflarge.c. # marginal effect of 'Petal.Width' across 'Sepal.Width' # without drawing the plot # this might be useful for using, e.g., ggplot2 for plotting tmp <- cplot(m, x = "Sepal.Width", dx = "Petal.Width" , Assuming you use the SDCC backend: SDCCs printf does not include float support by default. # marginal effect of each factor level across numeric variable cplot(m, x = "wt", dx = "am", what = "effect" ) # predicted values for each factor level cplot(m, x = "am" ) # factor independent variables mtcars] <- factor(mtcars]) ![]() # marginal effect of 'Petal.Width' across 'Petal.Width' cplot(m, x = "Petal.Width", what = "effect", n = 10 ) ![]() # more complex model m <- lm(Sepal.Length ~ Sepal.Width * Petal.Width * I(Petal.Width ^ 2 ), # prediction from several angles m <- lm(Sepal.Length ~ Sepal.Width, data = iris) Ylim = if (match.arg(what) %in% c("prediction", "stackedprediction")) c(0, 1.04) Ylab = if (match.arg(what) = "effect") paste0("Marginal effect of ", dx) else VGA (GPIO 22 to Red, GPIO 21 to Green, GPIO 17 to Blue, GPIO 16 to HSync and GPIO 4 to VSync)isplaontroller.begin(GPIONUM22, GPIONUM21, GPIONUM17, GPIONUM16, GPIONUM4) isplatResolution(VGA640x24060Hz) PS2Controller.begin(PS2Preset::KeyboardPort0) This is how the setup. What = c("prediction", "classprediction", "stackedprediction", "effect"), Z88dk cplot black red software The machine also emulates two 250KB floppy disks and one 8MB hard disk. Se.lty = if (match.arg(se.type) = "lines") 1L else 0L, /examples/graphics/ marilyn.c Command line: zcc +sam marilyn.c -lm -v -lndos -create-app Graphics plot incorrectly, MaxX and MaxY are reported as 255 and 191 though (I added in a printf to show the. Ylab = if (match.arg(what) = "prediction") paste0("Predicted value") else /examples/graphics/ marilyn.c Command line: zcc +sam marilyn. Xvals = prediction::seq_range(data], n = n), Currently methods exist for “lm”, “glm”, “loess” class models. Cplot: Conditional predicted value and average marginal effect plots for models Descriptionĭraw one or more conditional effects plots reflecting predictions or marginal effects from a model, conditional on a covariate. ![]()
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