箱线图上的绘制均值不会出现
Plotted mean on boxplot won't appear
我正在尝试使用 points() 向箱线图添加均值。
代码运行良好,我没有收到任何错误,但点数不会出现。
这是我的代码:
mean(BN$BN1, na.rm=T)
mean(BN$BN2, na.rm=T)
lillie.test(BN$BN_1)
lillie.test(BN$BN_2)
boxplot(BN$BN_1, BN$BN2,
main="Lilliefors-Test", xlab="BL 1", ylab="ART",
varwidth=TRUE, col="darkseagreen", border="forestgreen")
points(1,mean(BN$BN_1), col="red")
points(2,mean(BN$BN_2), col="red")
我的数据是这样的:
'data.frame': 41 obs. of 3 variables:
$ Art : Factor w/ 41 levels "Achillea ptarmica",..: 13 8 9 14 19 20 28 12 1 3 ...
$ BN_1: num 3 2 NA NA 2 2 2 2 2 2 ...
$ BN_2: num NA NA 3 2 3 3 3 2 2 2 …
有谁知道为什么它不起作用?
相同的代码可以完美地处理我拥有的类似数据(在相同条件下)。
感谢您的帮助!
输入
> dput(BN)
structure(list(Art = structure(c(13L, 8L, 9L, 14L, 19L, 20L,
28L, 12L, 1L, 3L, 15L, 31L, 5L, 16L, 22L, 26L, 32L, 18L, 34L,
10L, 2L, 21L, 37L, 35L, 30L, 27L, 24L, 41L, 4L, 33L, 17L, 39L,
11L, 36L, 6L, 23L, 25L, 40L, 38L, 29L, 7L), .Label = c("Achillea millefolium KS_O",
"Achillea millefolium KS_U", "Alopecurus pratensis", "Barbara vulgaris",
"Brachypodium sylvestris", "Brassica napus", "Campanula rotundifolia",
"Centaurea cyanus ", "Centaurea jacea ", "Cirsium arvense KS_O",
"Cirsium arvense KS_U", "Dactylis glomerata", "Echium vulgare ",
"Equisetum arvense ", "Galium mollugo", "Gaudinia fragilis",
"Geranium pusillum", "Hypercium perforatum", "Leucanthemum ircutianum",
"Lolium perenne", "Lotus corniculatis", "Malva sylvestris KS_O",
"Malva sylvestris KS_U", "Medicago lupulina", "Mysotis sylvatica",
"Papaver dubium", "Plantago lanceolata", "Poa pratensis", "Ranunculus abortivus",
"Ranunculus repens", "Rumex crispus", "Silene dioica", "Silene latifolia",
"Tanacetum vulgare", "Taraxacum officinale", "Tragopogon pratensis",
"Trifolium pratense", "Veronica arvensis", "Vicia sativa", "Vicia tenuifolia ",
"Viola arvensis"), class = "factor"), Bluehstreifen_1 = c(3,
2, NA, NA, 2, 2, 2, 2, 2, 2, 2, 1, 1, NA, 1, 0.5, 0.5, 0.5, NA,
NA, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, NA,
NA, NA, NA, NA, NA), Bluehstreifen_2 = c(NA, NA, 3, 2, 3, 3,
3, 2, 2, 2, 2, 0.5, 1, 1, NA, NA, NA, NA, 0.5, 0.5, 3, 3, 1,
1, 1, 1, 1, NA, NA, NA, NA, NA, NA, NA, NA, 0.5, 0.5, 0.5, 0.5,
0.5, 0.5)), class = "data.frame", row.names = c(NA, -41L))
在 BN 数据框中,列名为 Bluehstreifen_1 和 Bluehstreifen_2,我猜是 BN_1 和 BN_2。这些列有 NA,所以当你在包含 NA 的列上表示时,它 returns NA。执行以下操作:
boxplot(BN$Bluehstreifen_1, BN$Bluehstreifen_2,
main="Lilliefors-Test", xlab="BL 1", ylab="ART",
varwidth=TRUE, col="darkseagreen", border="forestgreen")
points(1,mean(BN$Bluehstreifen_1,na.rm=T), col="red")
points(2,mean(BN$Bluehstreifen_2,na.rm=T), col="red")
我正在尝试使用 points() 向箱线图添加均值。 代码运行良好,我没有收到任何错误,但点数不会出现。
这是我的代码:
mean(BN$BN1, na.rm=T)
mean(BN$BN2, na.rm=T)
lillie.test(BN$BN_1)
lillie.test(BN$BN_2)
boxplot(BN$BN_1, BN$BN2,
main="Lilliefors-Test", xlab="BL 1", ylab="ART",
varwidth=TRUE, col="darkseagreen", border="forestgreen")
points(1,mean(BN$BN_1), col="red")
points(2,mean(BN$BN_2), col="red")
我的数据是这样的:
'data.frame': 41 obs. of 3 variables:
$ Art : Factor w/ 41 levels "Achillea ptarmica",..: 13 8 9 14 19 20 28 12 1 3 ...
$ BN_1: num 3 2 NA NA 2 2 2 2 2 2 ...
$ BN_2: num NA NA 3 2 3 3 3 2 2 2 …
有谁知道为什么它不起作用? 相同的代码可以完美地处理我拥有的类似数据(在相同条件下)。
感谢您的帮助!
输入
> dput(BN)
structure(list(Art = structure(c(13L, 8L, 9L, 14L, 19L, 20L,
28L, 12L, 1L, 3L, 15L, 31L, 5L, 16L, 22L, 26L, 32L, 18L, 34L,
10L, 2L, 21L, 37L, 35L, 30L, 27L, 24L, 41L, 4L, 33L, 17L, 39L,
11L, 36L, 6L, 23L, 25L, 40L, 38L, 29L, 7L), .Label = c("Achillea millefolium KS_O",
"Achillea millefolium KS_U", "Alopecurus pratensis", "Barbara vulgaris",
"Brachypodium sylvestris", "Brassica napus", "Campanula rotundifolia",
"Centaurea cyanus ", "Centaurea jacea ", "Cirsium arvense KS_O",
"Cirsium arvense KS_U", "Dactylis glomerata", "Echium vulgare ",
"Equisetum arvense ", "Galium mollugo", "Gaudinia fragilis",
"Geranium pusillum", "Hypercium perforatum", "Leucanthemum ircutianum",
"Lolium perenne", "Lotus corniculatis", "Malva sylvestris KS_O",
"Malva sylvestris KS_U", "Medicago lupulina", "Mysotis sylvatica",
"Papaver dubium", "Plantago lanceolata", "Poa pratensis", "Ranunculus abortivus",
"Ranunculus repens", "Rumex crispus", "Silene dioica", "Silene latifolia",
"Tanacetum vulgare", "Taraxacum officinale", "Tragopogon pratensis",
"Trifolium pratense", "Veronica arvensis", "Vicia sativa", "Vicia tenuifolia ",
"Viola arvensis"), class = "factor"), Bluehstreifen_1 = c(3,
2, NA, NA, 2, 2, 2, 2, 2, 2, 2, 1, 1, NA, 1, 0.5, 0.5, 0.5, NA,
NA, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, NA,
NA, NA, NA, NA, NA), Bluehstreifen_2 = c(NA, NA, 3, 2, 3, 3,
3, 2, 2, 2, 2, 0.5, 1, 1, NA, NA, NA, NA, 0.5, 0.5, 3, 3, 1,
1, 1, 1, 1, NA, NA, NA, NA, NA, NA, NA, NA, 0.5, 0.5, 0.5, 0.5,
0.5, 0.5)), class = "data.frame", row.names = c(NA, -41L))
在 BN 数据框中,列名为 Bluehstreifen_1 和 Bluehstreifen_2,我猜是 BN_1 和 BN_2。这些列有 NA,所以当你在包含 NA 的列上表示时,它 returns NA。执行以下操作:
boxplot(BN$Bluehstreifen_1, BN$Bluehstreifen_2,
main="Lilliefors-Test", xlab="BL 1", ylab="ART",
varwidth=TRUE, col="darkseagreen", border="forestgreen")
points(1,mean(BN$Bluehstreifen_1,na.rm=T), col="red")
points(2,mean(BN$Bluehstreifen_2,na.rm=T), col="red")