Plot a scatterplot of two quantitative variables.

Variables to customize:

varlistindex <- c(5,6) # index of the two GTD frame quantitative variablestitleGRAPH <- "Diagrama de dispersão" # title of the plottitleUNITS <- c("ppm","ppm") # units of the variables to add to axis legends

Plot a matrix of scatterplots of several quantitative variables. Histograms are plotted in the diagonal of the matrix.

Variables to customize:

varlistindex <- c(5:11) # indexes of the several GTD frame quantitative variables
nclassesHIST <- 10 # number of classes for the histograms in the diagonal
sizePOINTS <- 0.8 # size of the points in the plots
smooth <- FALSE # option (TRUE or FALSE) to interpolate density of points in each plot
titleGRAPH <- "Matriz de diagramas de dispersão" # title of the graphic

Compute a contingency table for equal size intervals of two quantitative variables (absolute frequencies) and plot a 3D histogram.

Variables to customize: 

varlistindex <- c(5,6) # index of the two GTD frame quantitative variables
nclasses <- c(10,12) # number of classses of the two selected variables
titleUNITS <- c("ppm","ppm") # units of the variables to add to axis legends
spaceBARS <- 0.5 # space between 3D bars
angles <- c(45,45) # azimuth and dip angle of the graphic, change point of view
titleGRAPH <- "Histograma 3D" # title of the graphic

Plot a QQ plot of two quantitative variables.

Variables to customize: 

varlistindex <- c(8,10) # index of the two GTD frame quantitative variables
p_spacing <- 0.01 # spacing of the percentiles to build thew QQ plot
titleUNITS <- c("ppm","ppm") # units of the variables to add to axis legends
plotlineminmax <- FALSE # add a reference line between the first and the last point  
titleGRAPH <- "Gráfico QQ" # title of the graphic

Plot a matrix of QQ plots of several quantitative variables.

Variables to customize:

varlistindex <- c(5:11) # indexes of the GTD frame quantitative variables
ndecimals <- 3 # number of decimal places 

For a set of quantitative variables, compute and display a matrix of covariance, a matrix of correlations (Pearson in the lower part and Spearman in the upper part) and a matrix of differences between Pearson and Spearman correlation coeficients.

Variables to customize:

varlistindex <- c(5:11) # indexes of the GTD frame quantitative variables
ndecimals <- 3 # number of decimal places

Fit a linear regression (Y=aX+b) between two quantitative variables (left graphic) and display equation and R2, plot residuals vs the primary variable of the regression (central graphic) and plot residuals vs a normal distribution law (informal test for residuals normality).

Variables to customize:

varlistindex <- c(9,11) # index of the two GTD frame quantitative variables
titleUNITS <- c("ppm","ppm")# units of the variables to add to axis legends

Compute a contingency table for two qualitative variables (relative frequencies) and plot a 3D histogram.

Variables to customize: 

varlistindex <- c(5,6) # index of the two GTD frame qualitative variables
ndecimals <- 3 # number of decimal places
spaceBARS <- 0.25 # space between 3D bars
angles <- c(225,45) # azimuth and dip angle of the graphic, change point of view
titleGRAPH <- "Histograma 3D" # title of the graphic

Plot a mosaic diagram of two qualitative variables.

Variables to customize: 

varlistindex <- c(3,4) # index of the two GTD frame quantitative variables. Different order of the qualitative variables generate different graphics.
ndecimals <- 5 # number of decimals
titleGRAPH <- "Gráfico Mosaico" # title of the graphic

Plot cumulative histograms of several quantitative variables conditional to the modalities of a qualitative variable.

Variables to customize:

varsepindex <- 4 # index of the qualitative GTD frame variable
varlistindex <- c(5:11) # indexes of the several GTD frame quantitative variables
titleGRAPH <- "Função de distribuição cumulativa condicional" # title of the plot
par(mfrow=c(3,3),mar=c(3.5, 3.5, 2, 1), oma=c(0,0,2,0), mgp=c(2.25, 0.8, 0))# options to subdivide the graphical window, the numbers 3,3 represents rows and columns of the matrix of graphics

Plot box-plots of several quantitative variables conditional to the modalities of a qualitative variable.

Variables to customize:

varsepindex <- 4 # index of the qualitative GTD frame variable
varlistindex <- c(5:11) # indexes of the several GTD frame quantitative variables
plotlog <- FALSE # (TRUE or FALSE) use or not log scale
titleGRAPH <- "Box-plots condicionais" # title of the plot
par(mfrow=c(3,3),mar=c(3.5, 3.5, 2, 1), oma=c(0,0,2,0), mgp=c(2.25, 0.8, 0))# options to subdivide the graphical window, the numbers 3,3 represents rows and columns of the matrix of graphics

Compute conditional basic statistics (mean, standard deviation and skewness) of a quantitative variable conditional to the modalities of a qualitative variable.

Variables to customize: 

varsepvarindex <- 4 # index of the qualitative GTD frame variable
varlistindex <- 5 # index of the quantitative GTD frame variable
ndecimals <- 5 # number of decimal places