scatter: scatterplot with optional information on the errors between x...

In ptompalski/UsefulRFunctions: A personal set of R tools.

Description

This scatterplot is a wrapper function for a ggplot-based plot. It containes additional text panel that shows values calculated with calc.error

Usage

scatter(x, y, by = NULL, axisorder = "PO", xlab = "Observed",
  ylab = "Predicted", title = NULL, info = T, position = 0,
  positionauto = T, lowerlimit = NA, upperlimit = NA, alpha = 1,
  add.reg.line = F, rug = F, label_text = c("n", "bias", "bias%", "RMSE",
  "RMSE%"))

Arguments

x	a vector of observed data.
y	a vector of predicted data.
by	optional grouping variable. Can be character or factor
axisorder	Optional. Set to PO (predicted-observed) to plot predicted (y) on the y-axis (this is the default). Set to OP (observed-predicted) to plot observed (x) on the y-axis.
xlab	Optional. Title of the x-axis
ylab	Optional. Title of the y-axis
info	A logical value indictating whether information on count, bias and RMSE should be added to the plot.
position	Determines the position of the info box
positionauto	A logical value indicating whether the position of the info box should be optimized automaticaly.
lowerlimit	A value determining the lower limit of the x and y axis
upperlimit	A value determining the upper limit of the x and y axis
alpha	Define the transparency of the points. 0 - fully transparent, 1 - opaque.
add.reg.line	Logical. Should the regression line be added to the plot? Regression coeficients are calculated automatically.
rug	Logical. Add marginal rug to the plot.
label_text	A character vector of length=5 defining the names for the values in the info box.

Value

a scatterplot of x and y.

Examples

x <- iris$Sepal.Length
y <- predict(lm(data=iris,iris$Sepal.Length~iris$Petal.Width))
scatter(x,y)

ptompalski/UsefulRFunctions documentation built on May 26, 2019, 11:32 a.m.