R将数据拆分为类别

Question

我正在尝试找到一种最有效的方法，将数字列表按值拆分为二进制数，然后计算每个连续类别的累计总和。

我似乎无法从图中获得这个值的类别。

> scores
 [1] 115 119 119 134 121 128 128 152  97 108  98 130 108 110 111 122 106 142 143 140 141 151 125 126
> table(cut(scores,breaks=10))

(96.9,102]  (102,108]  (108,113]  (113,119]  (119,124]  (124,130]  (130,136]  (136,141]  (141,147]  (147,152] 
         2          1          4          1          4          5          1          2          2          2 

> cumsum(table(cut(scores,breaks=10)))
(96.9,102]  (102,108]  (108,113]  (113,119]  (119,124]  (124,130]  (130,136]  (136,141]  (141,147]  (147,152] 
         2          3          7          8         12         17         18         20         22         24 

> plot(100*cumsum(table(cut(scores,breaks=10)))/length(scores),ylab="percent of scores")

> lines(100*cumsum(table(cut(scores,breaks=10)))/length(scores))

这会产生一个可接受的图，其中包含索引值（2,4,6 ...）。如何获得值96.9,102等...有更好的方法吗？

Answer 1

您需要设置xaxt = "n"以强制plot不显示x轴标签，并使用axis自行显示它们，同时使用names

plot(100*cumsum(table(cut(scores,breaks=10)))/length(scores),ylab="percent of scores", xaxt = "n")
lines(100*cumsum(table(cut(scores,breaks=10)))/length(scores))
axis(1, 1:10, names(table(cut(scores,breaks=10))))