fviz_add: Add supplementary data to a plot

In YTLogos/factoextra: Extract and Visualize the Results of Multivariate Data Analyses

Description

Add supplementary data to a plot

Usage

fviz_add(ggp, df, axes = c(1, 2), geom = c("point", "arrow"),
  color = "blue", addlabel = TRUE, labelsize = 4, pointsize = 2,
  shape = 19, linetype = "dashed", repel = FALSE, font.family = "", ...)

Arguments

ggp	a ggplot2 plot.
df	a data frame containing the x and y coordinates
axes	a numeric vector of length 2 specifying the components to be plotted.
geom	a character specifying the geometry to be used for the graph Allowed values are "point" or "arrow" or "text"
color	the color to be used
addlabel	a logical value. If TRUE, labels are added
labelsize	the size of labels. Default value is 4
pointsize	the size of points
shape	point shape when geom ="point"
linetype	the linetype to be used when geom ="arrow"
repel	a boolean, whether to use ggrepel to avoid overplotting text labels or not.
font.family	character vector specifying font family.
...	Additional arguments, not used

Value

a ggplot2 plot

Author(s)

Alboukadel Kassambara [e-mail]

References

http://www.sthda.com

Examples

# Principal component analysis
data(decathlon2)
decathlon2.active <- decathlon2[1:23, 1:10]
res.pca <- prcomp(decathlon2.active,  scale = TRUE)

# Visualize variables
p <- fviz_pca_var(res.pca)
print(p)

# Add supplementary variables
coord <- data.frame(PC1 = c(-0.7, 0.9), PC2 = c(0.25, -0.07))
rownames(coord) <- c("Rank", "Points")
print(coord)
fviz_add(p, coord, color ="blue", geom="arrow") 
 
 

YTLogos/factoextra documentation built on May 3, 2019, 9:03 p.m.