View source: R/corrgram_grid.R
| corrgram2 | R Documentation |
'corrgram2()' produces a correlogram using grid graphics. The off-diagonal cells can be shaded or filled with custom panel functions to show the correlation structure of a data matrix or correlation matrix.
corrgram2(
x,
type = NULL,
order = FALSE,
labels,
panel = grid_panel.shade,
...,
lower.panel = panel,
upper.panel = panel,
diag.panel = NULL,
text.panel = grid_text.panel,
label.pos = c(0.5, 0.5),
label.srt = 0,
cex.labels = "fit",
dir = "left",
legend = FALSE,
col.regions = colorRampPalette(c("red", "salmon", "white", "royalblue", "navy")),
cor.method = "pearson",
title = NULL,
abs = FALSE
)
x |
A data frame or matrix with one observation per row, or a correlation matrix. |
type |
Use 'data' or 'cor'/'corr' to explicitly specify whether 'x' is raw data or a correlation matrix. Usually this is inferred. |
order |
Should variables be reordered? Use 'FALSE' for no reordering, 'TRUE' or '"PC"' for PCA-based angular ordering, or '"seriation"' for optimal seriation via the 'cba' package. |
labels |
Labels to use on the diagonal instead of column names. |
panel |
Default panel function used for both 'lower.panel' and 'upper.panel'. |
... |
Additional arguments passed to the panel functions. |
lower.panel, upper.panel |
Separate panel functions used below and above the diagonal. |
diag.panel |
Optional panel function used on the diagonal before drawing diagonal labels. |
text.panel |
Included for API compatibility with [corrgram()]. Diagonal labels are currently drawn with [grid_text.panel()]. |
label.pos |
Horizontal and vertical placement of the diagonal label. |
label.srt |
Rotation for diagonal labels. |
cex.labels |
Label size for diagonal labels. Use '"fit"' to size labels to the panel width. |
dir |
Direction of the main diagonal. Use '"left"' or '"\"' for a descending diagonal, and '"right"' or '"/"' for an ascending diagonal. |
legend |
If 'TRUE', draw a legend for the color scale. |
col.regions |
A function returning a vector of colors. |
cor.method |
Correlation method passed to panel functions. Default is '"pearson"'. |
title |
Optional title drawn above the correlogram. |
abs |
Logical; if 'TRUE', use absolute correlations for variable reordering. |
This function is a grid-graphics variant of [corrgram()]. It accepts either a data matrix/data frame with one observation per row or a correlation matrix. When raw data are supplied, correlations are computed with 'use = "pairwise.complete.obs"'.
Variable reordering can be used to improve the display by placing related variables near each other. 'order = TRUE' and 'order = "PC"' use the PCA-based angular ordering described by Friendly (2002). 'order = "seriation"' uses 'cba::seriation(..., method = "Optimal")' and requires the 'cba' package.
Invisibly returns 'NULL'.
Friendly, Michael. 2002. Corrgrams: Exploratory Displays for Correlation Matrices. *The American Statistician*, 56, 316–324. http://datavis.ca/papers/corrgram.pdf
D. J. Murdoch and E. D. Chow. 1996. A Graphical Display of Large Correlation Matrices. The American Statistician, 50, 178-180.
# Draw a grid-based correlogram from data
vars6 <- setdiff(colnames(auto), c("Model", "Origin"))
corrgram2(auto[vars6], order = TRUE,
lower.panel = grid_panel.shade,
upper.panel = grid_panel.pie)
# 'vote' is a correlation matrix
corrgram2(vote, order = TRUE, upper.panel = grid_panel.conf)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.