plot_goodnessOfFit: plot_GoodnessOfFit
In MarkusBonsch/mxLSTM: LSTM model for regression

Function to plot some godness of fit indicators for regression results

1	plot_goodnessOfFit(predicted, observed, plotIt = TRUE, combine = TRUE)

`predicted`	vector of predicted values
`observed`	vector of observed values
`plotIt`	If TRUE, plots are printed, if FALSE, they are only returned.
`combine`	If TRUE, all plots are combined before, if FALSE, a list of individual plots is returned.

For details on the goodness of fit measures, see calc_goodnessOfFit The plots contain the following information:

Predicted vs observed values: scatterplot of predicted over observed values.
Blue line indicates perfect fit, red line indicates best fit to data. For the meaning of performance measures, see calc_goodnessOfFit.
Distribution of residuals: density plot of the distribution of residuals (red area) with best fit gaussian (black dashed line). Blue line at x=0, red line for mean of residuals. For the meaning of performance measures, see calc_goodnessOfFit.
qqplot: standard qqplot. See qqnorm.
Residuals over observed values: Scatterplot of residuals over observed values. Blue line at 0. Red line for best fit to data.
Residuals over order: Scatterplot of residuals over order (in case of timeseries: time). Red area indicates the 3 sigma interval around the mean of the residuals.