| plotnetwork {spaa} | R Documentation |
Correlation network plot
Description
This function could be used to plot correlation network, with less than 15 sites (recommended). The points lie in a circle with lines connected. Blue lines indicate negative values and the red ones the positive ones.
Usage
plotnetwork(datainput, interval = 8, xlim = c(-2.5,5),
ylim=c(-3.2,3.2), lty = c(1,2,3,4,4,3,2,1,5), value = "r",
legendx = 3, legendy = 0, right = 1.2, intcept = 0.22,
left = 0.35, linelength = 0.3, cex = 3, lwd = 1.5,
show.legend = TRUE, digits = 2, dit = 1.2,
number.label = TRUE, text.label = TRUE,
linecol = c("red", "black"), ...)
Arguments
datainput |
The correlation matrix, ex. Pearson's correlation matrix |
interval |
Number of intervals of the values, indicating how to partition the range of input data |
xlim |
The x range of the plot. The users need not to change it. |
ylim |
The y range of the plot. The users need not to change it. |
lty |
Line styles used in connection lines for each interval. Must have number of elements + 1. |
value |
Value of the matrix, should be a character, will used in legend. |
legendx |
Legend position x. |
legendy |
Legend position y. |
right |
Legend position adjustment parameter. |
intcept |
Legend position adjustment. can be used to specify the row space between each line for the legend. |
left |
Legend position adjustment parameter. |
linelength |
Line length in the legend. |
cex |
Point size for each circle. |
lwd |
Line width for each circle. |
... |
Other arguments to be passed from. |
show.legend |
Whether the legend should be drawn. |
digits |
Number of digits displayed in legend. |
dit |
Distance of text labels from each corner. |
number.label |
Whether the number label should be drawn. |
text.label |
Whether the text label should be drawn. |
linecol |
Colours of the lines specified. The positive correlation will be drawn in the first colour specified. |
Details
This function could be used to plot the pairwise connections between less than 20 sites ( above 20 is not recommended since there would be too many connections).
The lines will be in red or blue, according the sign of the value of association. Users can adjust the line style and legends based on their requirements.
Value
Correlation network plots.
Author(s)
Jinlong Zhang jinlongzhang01@gmail.com
References
None
Examples
data(testdata)
spmatrix <- data2mat(testdata)
result <- sp.pair(spmatrix)
plotnetwork(result$Pearson)
plotnetwork(result$Pearson, linecol = c("orange", "blue"),
number.label = FALSE)
title("Pearson Correlation Network")