将数据帧中的所有数字除以同一数据帧中选定的行和R中相应的列位置
我有一个用这个代码生成的数据帧将数据帧中的所有数字除以同一数据帧中选定的行和R中相应的列位置,r,dataframe,divide,R,Dataframe,Divide,我有一个用这个代码生成的数据帧x1 x <- c(1:10) y <- x^3 z <- y-20 s <- z/3 t <- s*6 q <- s*y x1 <- cbind(x,y,z,s,t,q) x1 <- data.frame(x1) x y z s t q 1 1 1 -19 -6.333333 -38 -6.333333 2 2 8 -
x1
x <- c(1:10)
y <- x^3
z <- y-20
s <- z/3
t <- s*6
q <- s*y
x1 <- cbind(x,y,z,s,t,q)
x1 <- data.frame(x1)
x y z s t q
1 1 1 -19 -6.333333 -38 -6.333333
2 2 8 -12 -4.000000 -24 -32.000000
3 3 27 7 2.333333 14 63.000000
4 4 64 44 14.666667 88 938.666667
5 5 125 105 35.000000 210 4375.000000
6 6 216 196 65.333333 392 14112.000000
7 7 343 323 107.666667 646 36929.666667
8 8 512 492 164.000000 984 83968.000000
9 9 729 709 236.333333 1418 172287.000000
10 10 1000 980 326.666667 1960 326666.666667
所以数据帧x2看起来像这样
x y z s t q
1 1 1 -19 -6.333333 -38 -6.333333
我需要的结果是,数据框中的每个数字都应该除以x2中对应于其自身列位置的数字。例如,当数据帧x1
的第3行除以x2
时,结果应该是327-0.368421-0.368421-0.368421-9.947336
,但我在Ops.data.frame(x,aperm(数组(STATS,dims[perm])中得到了一个错误
是否有人可以指出我需要更改什么以获得所需的结果。问题是由于x2
是一行数据帧而不是向量。将其转换为未列出的向量即可:
x2 <- x1[1,]
sweep(x1, 2, unlist(x2), `/`)
x y z s t q
1 1 1 1.0000000 1.0000000 1.0000000 1.000000
2 2 8 0.6315789 0.6315789 0.6315789 5.052632
3 3 27 -0.3684211 -0.3684211 -0.3684211 -9.947368
4 4 64 -2.3157895 -2.3157895 -2.3157895 -148.210526
5 5 125 -5.5263158 -5.5263158 -5.5263158 -690.789474
6 6 216 -10.3157895 -10.3157895 -10.3157895 -2228.210526
7 7 343 -17.0000000 -17.0000000 -17.0000000 -5831.000000
8 8 512 -25.8947368 -25.8947368 -25.8947368 -13258.105263
9 9 729 -37.3157895 -37.3157895 -37.3157895 -27203.210526
10 10 1000 -51.5789474 -51.5789474 -51.5789474 -51578.947368
x2将data.frame转换为矩阵(因为您只有数字数据):
x1您也可以尝试以下方法:
x1 / x1[1, , drop = TRUE]
# x y z s t q
# 1 1 1 1.0000000 1.0000000 1.0000000 1.000000
# 2 2 8 0.6315789 0.6315789 0.6315789 5.052632
# 3 3 27 -0.3684211 -0.3684211 -0.3684211 -9.947368
# 4 4 64 -2.3157895 -2.3157895 -2.3157895 -148.210526
# 5 5 125 -5.5263158 -5.5263158 -5.5263158 -690.789474
# 6 6 216 -10.3157895 -10.3157895 -10.3157895 -2228.210526
# 7 7 343 -17.0000000 -17.0000000 -17.0000000 -5831.000000
# 8 8 512 -25.8947368 -25.8947368 -25.8947368 -13258.105263
# 9 9 729 -37.3157895 -37.3157895 -37.3157895 -27203.210526
# 10 10 1000 -51.5789474 -51.5789474 -51.5789474 -51578.947368
@阿南达·马托这个作品很有魅力,直截了当,干杯汉克斯,这是一个有用的建议
x1 <- as.matrix(x1)
t(t(x1)/x1[1,])
x y z s t q
[1,] 1 1 1.0000000 1.0000000 1.0000000 1.000000
[2,] 2 8 0.6315789 0.6315789 0.6315789 5.052632
[3,] 3 27 -0.3684211 -0.3684211 -0.3684211 -9.947368
[4,] 4 64 -2.3157895 -2.3157895 -2.3157895 -148.210526
[5,] 5 125 -5.5263158 -5.5263158 -5.5263158 -690.789474
[6,] 6 216 -10.3157895 -10.3157895 -10.3157895 -2228.210526
[7,] 7 343 -17.0000000 -17.0000000 -17.0000000 -5831.000000
[8,] 8 512 -25.8947368 -25.8947368 -25.8947368 -13258.105263
[9,] 9 729 -37.3157895 -37.3157895 -37.3157895 -27203.210526
[10,] 10 1000 -51.5789474 -51.5789474 -51.5789474 -51578.947368
x1 / x1[1, , drop = TRUE]
# x y z s t q
# 1 1 1 1.0000000 1.0000000 1.0000000 1.000000
# 2 2 8 0.6315789 0.6315789 0.6315789 5.052632
# 3 3 27 -0.3684211 -0.3684211 -0.3684211 -9.947368
# 4 4 64 -2.3157895 -2.3157895 -2.3157895 -148.210526
# 5 5 125 -5.5263158 -5.5263158 -5.5263158 -690.789474
# 6 6 216 -10.3157895 -10.3157895 -10.3157895 -2228.210526
# 7 7 343 -17.0000000 -17.0000000 -17.0000000 -5831.000000
# 8 8 512 -25.8947368 -25.8947368 -25.8947368 -13258.105263
# 9 9 729 -37.3157895 -37.3157895 -37.3157895 -27203.210526
# 10 10 1000 -51.5789474 -51.5789474 -51.5789474 -51578.947368