PCA双标组个体

问题描述 投票:0回答:2

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;

  1. 我怎么能把行名 SEBRLE & NOOL 涂成红色,其余的涂成黑色
  2. 将所有行名分配给 2 个因素中的 1 个(我不介意这只是一个例子)并用不同的颜色给它们着色。

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。

r pca factoextra
2个回答
1
投票

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"))


-1
投票

请问如何将变量名X400m改为X下标400m?

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