采样后如何删除 R 热图中未采样的数据？
以下代码生成热图，但在 y 轴上显示原始数据集（采样前）中包含的所有 194 个国家/地区的标签。即使我删除原始数据集，这种情况仍然会发生。我还尝试关闭控制台以启动新会话，但无济于事。
qlife.s <- myData[sample(194,size=10,replace=F),]
qlife.s.m <- melt(qlife.s)
qlife.s.m <- ddply(qlife.s.m, .(variable), transform, rescale=rescale(value))
(p <- ggplot(qlife.s.m, aes(variable, qlife.s.m$Country))
+ geom_tile( aes(fill = rescale),
colour = "white")
+ scale_fill_gradient(low = "red", high = "green")
)
非常感谢任何建议。提前致谢。
The following code produces a heatmap but shows labels on the y axis for all 194 countries included in the original dataset (before sampling). This continues to happen even if I remove the original dataset. I've also tried shutting down the console to start a new session, to no avail.
qlife.s <- myData[sample(194,size=10,replace=F),]
qlife.s.m <- melt(qlife.s)
qlife.s.m <- ddply(qlife.s.m, .(variable), transform, rescale=rescale(value))
(p <- ggplot(qlife.s.m, aes(variable, qlife.s.m$Country))
+ geom_tile( aes(fill = rescale),
colour = "white")
+ scale_fill_gradient(low = "red", high = "green")
)
Any advice is much appreciated. Thanks in advance.
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对您的数据使用
droplevels()。从表面上看：应该做你想做的事，但如果没有可重现的例子就很难说。
Use
droplevels()on your data. By the looks of things:should do what you want, but it is difficult to tell without a reproducible example.