cbind 不创建数据集,而是在 R 中创建字符向量
cbind does not create dataset but character vector in R
我的目标是使用 cbind
创建一个包含 3 列的新数据框。
然而,每次我尝试它都会变成 chr,而不是 data.frame。
L_bw_visit <- c(24.68130, 175.1266, 1.47421, 2.714970, 2.080063, 42.06174, 17.29546,
51.98034, 0.8140756, 0.7157895)
S_bw_visit <- c(29.26038, 120.9192, 5.04845, 3.742081, 3.654214, 37.53483, 21.65989,
44.27059, 4.5231854, 3.0566597)
Species_bw <- c("Central American Spiny rat", "Common opossum","Agouti", "White-nosed coati",
"Northern tamandua","Nine-banded armadillo", "Lowland paca", "Ocelot",
"Red brocket deer", "Collared peccary")
paired_bw_visit<- cbind(Species_bw, L_bw_visit, S_bw_visit)
有人知道我应该如何不同地创建数据框吗?
我们需要 data.frame
而不是 cbind
,因为 cbind
创建一个 matrix
并且矩阵只能有一个 class 即如果其中一个元素是字符,所有元素都改为字符 class
df1 <- data.frame(Species_bw, L_bw_visit, S_bw_visit, stringsAsFactors = FALSE)
cbind
期望所有向量都是同一类型,并在必要时将所有内容转换为字符。
改用data.frame
:
> data.frame(Species_bw, L_bw_visit, S_bw_visit)
Species_bw L_bw_visit S_bw_visit
1 Central American Spiny rat 24.6813000 29.260380
2 Common opossum 175.1266000 120.919200
3 Agouti 1.4742100 5.048450
4 White-nosed coati 2.7149700 3.742081
5 Northern tamandua 2.0800630 3.654214
6 Nine-banded armadillo 42.0617400 37.534830
7 Lowland paca 17.2954600 21.659890
8 Ocelot 51.9803400 44.270590
9 Red brocket deer 0.8140756 4.523185
10 Collared peccary 0.7157895 3.056660
我的目标是使用 cbind
创建一个包含 3 列的新数据框。
然而,每次我尝试它都会变成 chr,而不是 data.frame。
L_bw_visit <- c(24.68130, 175.1266, 1.47421, 2.714970, 2.080063, 42.06174, 17.29546,
51.98034, 0.8140756, 0.7157895)
S_bw_visit <- c(29.26038, 120.9192, 5.04845, 3.742081, 3.654214, 37.53483, 21.65989,
44.27059, 4.5231854, 3.0566597)
Species_bw <- c("Central American Spiny rat", "Common opossum","Agouti", "White-nosed coati",
"Northern tamandua","Nine-banded armadillo", "Lowland paca", "Ocelot",
"Red brocket deer", "Collared peccary")
paired_bw_visit<- cbind(Species_bw, L_bw_visit, S_bw_visit)
有人知道我应该如何不同地创建数据框吗?
我们需要 data.frame
而不是 cbind
,因为 cbind
创建一个 matrix
并且矩阵只能有一个 class 即如果其中一个元素是字符,所有元素都改为字符 class
df1 <- data.frame(Species_bw, L_bw_visit, S_bw_visit, stringsAsFactors = FALSE)
cbind
期望所有向量都是同一类型,并在必要时将所有内容转换为字符。
改用data.frame
:
> data.frame(Species_bw, L_bw_visit, S_bw_visit)
Species_bw L_bw_visit S_bw_visit
1 Central American Spiny rat 24.6813000 29.260380
2 Common opossum 175.1266000 120.919200
3 Agouti 1.4742100 5.048450
4 White-nosed coati 2.7149700 3.742081
5 Northern tamandua 2.0800630 3.654214
6 Nine-banded armadillo 42.0617400 37.534830
7 Lowland paca 17.2954600 21.659890
8 Ocelot 51.9803400 44.270590
9 Red brocket deer 0.8140756 4.523185
10 Collared peccary 0.7157895 3.056660