在 glm 图中手动控制轴刻度线标签
Manually control axes tick mark labels in glm plot
我正在使用 levelplot()
绘制 traitglm()
输出。轴标签是自动的。我想用自定义表达式替换每个刻度标签,即 'woo' 应该是 'Wood' 而 'XH' 应该是 'Grassland'。
此外,我怎样才能将图中的 'XH'、'XL''XO' 重新排序为 'XO'、'XL'、'XH'?
我用这段代码作图:
aSO = max( abs(traitsglm) )
colortSO = colorRampPalette(c("blue", "white", "red"))
plot.4thSO = levelplot(t(as.matrix(traitsglm)),
xlab = "Env",
ylab = "Traits",
col.regions = colortSO(100),
at = seq(-aSO, aSO, length = 100),
scales = list(x = list(rot = 45)))
print(plot.4thSO)
输出如下所示:
非常感谢任何建议:
这是 traitsglm 的 dput():
> dput(traitsglm)
structure(c(0, 0, 0, 0, -0.0156616179765263, 0.0457475723683713,
0, 0, 0.065063431709575, 0.0390952440996195, 0, -0.0194671501115163,
0, -0.0234664518436303, 0, 0.0916078166850258, 0.0109256858453898,
0, 0.0137149350117998, 0, -0.0227890851186177, 0, 0, 0.0419307281357592,
0.0143375543423802, 0, 0, 0, -0.0470842266584843, -0.0154350203811271,
0, 0.0167536127627214, 0, 0, 0, -0.0294763453032897, 0, 0, -0.0456185799682106,
0.0207276137008492, 0, 0, 0, 0, 0, 0, 0.000971877948579576, 0.0141354127135407,
0, 0, -0.0142399452642402, 0, 0, 0.0169159154100949, 0, 0, -0.0126555144059337,
0, 0, -0.00956369894367865), .Dim = c(20L, 3L), .Dimnames = list(
c("disan", "disba", "diszo", "frube", "fruca", "frudr", "frufo",
"frule", "frunu", "frusy", "pgt", "pola", "polb", "polf",
"poli", "polw", "polx", "hei", "see", "woo"), c("XH", "XL",
"XO")))
一种可能的方法是在将矩阵传递给 levelplot()
之前对矩阵进行更改。
原文:
> traitsglm
XH XL XO
disan 0.00000000 -0.02278909 0.0000000000
disba 0.00000000 0.00000000 0.0000000000
diszo 0.00000000 0.00000000 0.0000000000
frube 0.00000000 0.04193073 0.0000000000
fruca -0.01566162 0.01433755 0.0000000000
frudr 0.04574757 0.00000000 0.0000000000
frufo 0.00000000 0.00000000 0.0009718779
frule 0.00000000 0.00000000 0.0141354127
frunu 0.06506343 -0.04708423 0.0000000000
frusy 0.03909524 -0.01543502 0.0000000000
pgt 0.00000000 0.00000000 -0.0142399453
pola -0.01946715 0.01675361 0.0000000000
polb 0.00000000 0.00000000 0.0000000000
polf -0.02346645 0.00000000 0.0169159154
poli 0.00000000 0.00000000 0.0000000000
polw 0.09160782 -0.02947635 0.0000000000
polx 0.01092569 0.00000000 -0.0126555144
hei 0.00000000 0.00000000 0.0000000000
see 0.01371494 -0.04561858 0.0000000000
woo 0.00000000 0.02072761 -0.0095636989
修改版本:
# reverse x-axis order
tg <- traitsglm[,3:1]
# change axis labels
attr(tg, "dimnames") <- list(
c("Y1", "Y2", "Y3", "Y4", "Y5", "Y6", "Y7", "Y8", "Y9", "Y10",
"Y11", "Y12", "Y13", "Y14", "Y15", "Y16", "Y17", "Y18", "Y19", "Wood"),
c("X1", "X2", "Grassland")
)
> tg
X1 X2 Grassland
Y1 0.0000000000 -0.02278909 0.00000000
Y2 0.0000000000 0.00000000 0.00000000
Y3 0.0000000000 0.00000000 0.00000000
Y4 0.0000000000 0.04193073 0.00000000
Y5 0.0000000000 0.01433755 -0.01566162
Y6 0.0000000000 0.00000000 0.04574757
Y7 0.0009718779 0.00000000 0.00000000
Y8 0.0141354127 0.00000000 0.00000000
Y9 0.0000000000 -0.04708423 0.06506343
Y10 0.0000000000 -0.01543502 0.03909524
Y11 -0.0142399453 0.00000000 0.00000000
Y12 0.0000000000 0.01675361 -0.01946715
Y13 0.0000000000 0.00000000 0.00000000
Y14 0.0169159154 0.00000000 -0.02346645
Y15 0.0000000000 0.00000000 0.00000000
Y16 0.0000000000 -0.02947635 0.09160782
Y17 -0.0126555144 0.00000000 0.01092569
Y18 0.0000000000 0.00000000 0.00000000
Y19 0.0000000000 -0.04561858 0.01371494
Wood -0.0095636989 0.02072761 0.00000000
使用修改后的版本绘图:
library(lattice)
levelplot(t(as.matrix(tg)),
xlab = "Env",
ylab = "Traits",
col.regions = colortSO(100),
at = seq(-aSO, aSO, length = 100),
scales = list(x = list(rot = 45)))
我正在使用 levelplot()
绘制 traitglm()
输出。轴标签是自动的。我想用自定义表达式替换每个刻度标签,即 'woo' 应该是 'Wood' 而 'XH' 应该是 'Grassland'。
此外,我怎样才能将图中的 'XH'、'XL''XO' 重新排序为 'XO'、'XL'、'XH'?
我用这段代码作图:
aSO = max( abs(traitsglm) )
colortSO = colorRampPalette(c("blue", "white", "red"))
plot.4thSO = levelplot(t(as.matrix(traitsglm)),
xlab = "Env",
ylab = "Traits",
col.regions = colortSO(100),
at = seq(-aSO, aSO, length = 100),
scales = list(x = list(rot = 45)))
print(plot.4thSO)
输出如下所示:
非常感谢任何建议:
这是 traitsglm 的 dput():
> dput(traitsglm)
structure(c(0, 0, 0, 0, -0.0156616179765263, 0.0457475723683713,
0, 0, 0.065063431709575, 0.0390952440996195, 0, -0.0194671501115163,
0, -0.0234664518436303, 0, 0.0916078166850258, 0.0109256858453898,
0, 0.0137149350117998, 0, -0.0227890851186177, 0, 0, 0.0419307281357592,
0.0143375543423802, 0, 0, 0, -0.0470842266584843, -0.0154350203811271,
0, 0.0167536127627214, 0, 0, 0, -0.0294763453032897, 0, 0, -0.0456185799682106,
0.0207276137008492, 0, 0, 0, 0, 0, 0, 0.000971877948579576, 0.0141354127135407,
0, 0, -0.0142399452642402, 0, 0, 0.0169159154100949, 0, 0, -0.0126555144059337,
0, 0, -0.00956369894367865), .Dim = c(20L, 3L), .Dimnames = list(
c("disan", "disba", "diszo", "frube", "fruca", "frudr", "frufo",
"frule", "frunu", "frusy", "pgt", "pola", "polb", "polf",
"poli", "polw", "polx", "hei", "see", "woo"), c("XH", "XL",
"XO")))
一种可能的方法是在将矩阵传递给 levelplot()
之前对矩阵进行更改。
原文:
> traitsglm
XH XL XO
disan 0.00000000 -0.02278909 0.0000000000
disba 0.00000000 0.00000000 0.0000000000
diszo 0.00000000 0.00000000 0.0000000000
frube 0.00000000 0.04193073 0.0000000000
fruca -0.01566162 0.01433755 0.0000000000
frudr 0.04574757 0.00000000 0.0000000000
frufo 0.00000000 0.00000000 0.0009718779
frule 0.00000000 0.00000000 0.0141354127
frunu 0.06506343 -0.04708423 0.0000000000
frusy 0.03909524 -0.01543502 0.0000000000
pgt 0.00000000 0.00000000 -0.0142399453
pola -0.01946715 0.01675361 0.0000000000
polb 0.00000000 0.00000000 0.0000000000
polf -0.02346645 0.00000000 0.0169159154
poli 0.00000000 0.00000000 0.0000000000
polw 0.09160782 -0.02947635 0.0000000000
polx 0.01092569 0.00000000 -0.0126555144
hei 0.00000000 0.00000000 0.0000000000
see 0.01371494 -0.04561858 0.0000000000
woo 0.00000000 0.02072761 -0.0095636989
修改版本:
# reverse x-axis order
tg <- traitsglm[,3:1]
# change axis labels
attr(tg, "dimnames") <- list(
c("Y1", "Y2", "Y3", "Y4", "Y5", "Y6", "Y7", "Y8", "Y9", "Y10",
"Y11", "Y12", "Y13", "Y14", "Y15", "Y16", "Y17", "Y18", "Y19", "Wood"),
c("X1", "X2", "Grassland")
)
> tg
X1 X2 Grassland
Y1 0.0000000000 -0.02278909 0.00000000
Y2 0.0000000000 0.00000000 0.00000000
Y3 0.0000000000 0.00000000 0.00000000
Y4 0.0000000000 0.04193073 0.00000000
Y5 0.0000000000 0.01433755 -0.01566162
Y6 0.0000000000 0.00000000 0.04574757
Y7 0.0009718779 0.00000000 0.00000000
Y8 0.0141354127 0.00000000 0.00000000
Y9 0.0000000000 -0.04708423 0.06506343
Y10 0.0000000000 -0.01543502 0.03909524
Y11 -0.0142399453 0.00000000 0.00000000
Y12 0.0000000000 0.01675361 -0.01946715
Y13 0.0000000000 0.00000000 0.00000000
Y14 0.0169159154 0.00000000 -0.02346645
Y15 0.0000000000 0.00000000 0.00000000
Y16 0.0000000000 -0.02947635 0.09160782
Y17 -0.0126555144 0.00000000 0.01092569
Y18 0.0000000000 0.00000000 0.00000000
Y19 0.0000000000 -0.04561858 0.01371494
Wood -0.0095636989 0.02072761 0.00000000
使用修改后的版本绘图:
library(lattice)
levelplot(t(as.matrix(tg)),
xlab = "Env",
ylab = "Traits",
col.regions = colortSO(100),
at = seq(-aSO, aSO, length = 100),
scales = list(x = list(rot = 45)))