Why does plot behave differently for different data, and how do you control it? My specific example today is getting different output with scaled and non-scaled data. For example
为什么不同数据的情节表现不同，您如何控制它？我今天的具体例子是使用缩放和非缩放数据获得不同的输出。例如
fit <- kmeans(mydata, 4)
plot(mydata, col = fit$cluster)
returns a nice 4x4 scatter matrix plot (mydata is 486x4) but
返回一个漂亮的4x4散点图矩阵（mydata是486x4）但是
mydata <- scale(mydata)
fit <- kmeans(mydata, 4)
plot(mydata, col = fit$cluster)
returns a single plot showing variable 1 scatter plotted vs variable 2?
返回单个图，显示变量1散点图与变量2的关系？
1 个解决方案
#1
1
This is because scale() returns a matrix rather than a data.frame. Just convert it back to a data.frame
这是因为scale（）返回的是矩阵而不是data.frame。只需将其转换回data.frame即可
mydata <- data.frame(scale(mydata))
#1
1
This is because scale() returns a matrix rather than a data.frame. Just convert it back to a data.frame
这是因为scale（）返回的是矩阵而不是data.frame。只需将其转换回data.frame即可
mydata <- data.frame(scale(mydata))