我的数据中有很多人 (n=600)。我运行 PCA 并想创建变量和个体的双标图。我想要根据他们的贡献着色的变量。这些人来自两个群体,我想根据这两个群体给这些点上色。我附上一个小例子。
library(FactoMineR)
library(factoextra)
data(decathlon2)
decathlon2.active <- decathlon2[1:23, 1:10]
head(decathlon2.active[, 1:6])
res.pca <- PCA(decathlon2.active, graph = FALSE)
fviz_pca_biplot(res.pca, col.var="cos", geom = "point") + scale_color_gradient2(low="white", mid="blue",
high="red", midpoint=0.5) + theme_minimal()
res.pca_ind = data.frame(res.pca$ind)
res.pca_ind
问题;
部分回答;
sub = as.character(rownames(res.pca_ind))
decathlon3 = decathlon2[which(rownames(decathlon2) %in% sub),]
fviz_pca_biplot(res.pca, axes = c(1, 2), geom = c("point", "text"),
label = "all", invisible = "none", labelsize = 2, pointsize = 2,
habillage = decathlon3$Competition, addEllipses = FALSE, ellipse.level = 0.95,
col.ind = "black", col.ind.sup = "blue", alpha.ind = 1,
col.var = "steelblue", alpha.var = 1, col.quanti.sup = "blue",
col.circle = NULL,
select.var = list(name = NULL, cos2 = NULL, contrib= NULL),
select.ind = list(name = NULL, cos2 = NULL, contrib = NULL),
jitter = list(what = "label", width = NULL, height = NULL))
然而,在我得到的地方,我正在失去。由于
Error: Continuous value supplied to discrete scale
不断出现,我无法找到同时使用 habillage 和 select.var 的方法。
如果你不需要图例:
library(factoextra)
point_col = ifelse(rownames(decathlon2.active) %in% c("SEBRLE","NOOL"),
"red","black")
res.pca <- PCA(decathlon2.active, graph = FALSE)
g = fviz_pca_biplot(res.pca, col.var="contrib", geom = "") +
scale_color_gradient2(low="white", mid="blue", high="red", midpoint=0.5) +
theme_minimal()
g + geom_point(col = point_col)
如果需要图例,我将包含sebrle和nool的观测值命名为0,其他命名为1:
library(ggnewscale)
g$data$group = +(rownames(decathlon2.active) %in% c("SEBRLE","NOOL"))
g + new_scale_color() +
geom_point(aes(col=factor(group))) +
scale_color_manual(values = c("black","red"))
请问如何将变量名X400m改为X下标400m?