我对 R 还很陌生 - 我想根据我已经实现的称为“分数”的定性变量对我的点进行颜色编码,但是,同时我还想根据称为“的不同定性变量”来更改点的形状土地利用”
目前我有:
fviz_pca_biplot(SXR_PCA,
label="var",
habillage = SXR_input$Fraction,
pointshape = 19,
col.var = "black",
addEllipses = TRUE, ellipse.type = "norm",
legend.title = "Fraction",
mean.point = FALSE,
ggtheme = theme_classic()) +
ggtitle("")+
scale_color_manual(values=c("#782ED1","#D1782E","#2ED178"))
我已经能够根据“分数”变量改变形状,并且能够将所有点更改为相同的形状,但很难找到任何能让我根据不同变量改变形状的东西
我认为你需要添加自己的
geom_point()
才能更改形状,例如
library(factoextra)
#> Loading required package: ggplot2
#> Welcome! Want to learn more? See two factoextra-related books
data(iris)
res.pca <- prcomp(iris[, -5], scale = TRUE)
# add a new variable
iris$Landuse <- c(rep(paste("var", 1:5, sep = "_"), each = 30))
head(iris)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species Landuse
#> 1 5.1 3.5 1.4 0.2 setosa var_1
#> 2 4.9 3.0 1.4 0.2 setosa var_1
#> 3 4.7 3.2 1.3 0.2 setosa var_1
#> 4 4.6 3.1 1.5 0.2 setosa var_1
#> 5 5.0 3.6 1.4 0.2 setosa var_1
#> 6 5.4 3.9 1.7 0.4 setosa var_1
tail(iris)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species Landuse
#> 145 6.7 3.3 5.7 2.5 virginica var_5
#> 146 6.7 3.0 5.2 2.3 virginica var_5
#> 147 6.3 2.5 5.0 1.9 virginica var_5
#> 148 6.5 3.0 5.2 2.0 virginica var_5
#> 149 6.2 3.4 5.4 2.3 virginica var_5
#> 150 5.9 3.0 5.1 1.8 virginica var_5
fviz_pca_biplot(res.pca,
label="var",
habillage = iris$Species,
pointshape = NA,
col.var = "black",
addEllipses = TRUE, ellipse.type = "norm",
legend.title = "Fraction",
mean.point = FALSE,
ggtheme = theme_classic()) +
ggtitle("")+
geom_point(aes(shape = iris$Landuse)) +
scale_color_manual(values=c("#782ED1","#D1782E","#2ED178")) +
scale_shape_manual(name = "Landuse", values = c("var_1" = 2, "var_2" = 3,
"var_3" = 4, "var_4" = 5,
"var_5" = 6))
#> Warning: Removed 150 rows containing missing values (`geom_point()`).
创建于 2024-02-21,使用 reprex v2.1.0