我用MLR包的plotLearnerPrediction函数制作了一些不错的图 . 我能够对返回的ggplot进行一些调整(参见下面的代码) . 但我不知道如何进行最后一次调整 . 也就是说,我想根据标签(示例图中的组)更改数据点的颜色 .
My last plot (with black data points)
Another produced plot (overlapping data points)
这是我的代码的最后一个版本(通常是for循环的一部分):
plot <- plotLearnerPrediction(learner = learner_name, task = tasks[[i]], cv = 0,
pointsize = 1.5, gridsize = 500) +
ggtitle(trimws(sprintf("Predictions %s %s", meta$name[i], meta$nr[i])),
subtitle = sprintf("DR = %s, ML = %s, CV = LOO, ACC = %.2f", meta$type[i],
toupper(strsplit(learner_name, "classif.")[[1]][2]), acc[[i]])) +
xlab(sprintf("%s 1", lab)) +
ylab(sprintf("%s 2", lab)) +
scale_fill_manual(values = colors) +
theme(plot.title = element_text(size = 18, face = "bold"),
plot.subtitle = element_text(size = 12, face = "bold", colour = "grey40"),
axis.text.x = element_text(vjust = 0.5, hjust = 1),
axis.text = element_text(size = 14, face = "bold"),
axis.title.x = element_text(vjust = 0.5),
axis.title = element_text(size = 16, face = "bold"),
#panel.grid.minor = element_line(colour = "grey80"),
axis.line.x = element_line(color = "black", size = 1),
axis.line.y = element_line(color = "black", size = 1),
panel.grid.major = element_line(colour = "grey80"),
panel.background = element_rect(fill = "white"),
legend.justification = "top",
legend.margin = margin(l = 0),
legend.title = element_blank(),
legend.text = element_text(size = 14))
下面是plotLearnerPrediction函数的源代码的一部分 . 我想要否决geom_point(color =“black”) . 在我的代码中添加简单的geom_point(color =“pink”)不会为数据点着色,而是整个图 . 是否有解决方案用颜色向量否决该代码?可能还需要更改aes()以根据组更改颜色 .
else if (taskdim == 2L) {
p = ggplot(mapping = aes_string(x = x1n, y = x2n))
p = p + geom_tile(data = grid, mapping = aes_string(fill = target))
p = p + scale_fill_gradient2(low = bg.cols[1L], mid = bg.cols[2L],
high = bg.cols[3L], space = "Lab")
p = p + geom_point(data = data, mapping = aes_string(x = x1n,
y = x2n, colour = target), size = pointsize)
p = p + geom_point(data = data, mapping = aes_string(x = x1n,
y = x2n), size = pointsize, colour = "black",
shape = 1)
p = p + scale_colour_gradient2(low = bg.cols[1L],
mid = bg.cols[2L], high = bg.cols[3L], space = "Lab")
p = p + guides(colour = FALSE)
}
2 回答
plotLearnerPrediction()
函数返回ggplot
绘图对象,允许进行某种程度的自定义,而无需修改源代码 . 在您的特定情况下,您可以使用scale_fill_manual()
设置自定义填充颜色:你总是可以攻击gg对象 . 以下适用于ggplot2 2.2.1并为所有geom_point图层添加手动alpha值 .