facet_grid 值的奇怪重新排列
facet_grid weird rearrangement of values
我有这个图是我在 R 中使用 ggplot2 生成的。
生成此图的代码是：
plot <- ggplot(mockdata, aes(variable, Measurement)) +
geom_tile(aes(fill = mockdata$plotval), colour = "dark red") + facet_grid(~type, scales='free', space='free') + scale_fill_gradient2(limits=c(-20, 20),high = "firebrick3", low = "dodgerblue4") +
theme_minimal() + theme(axis.text.x=element_text(size=28, angle=90), axis.text.y=element_text(size=28, face = "italic")) +
labs(title="", x="", y="", fill="") + theme(strip.text.x=element_blank(),strip.text.y=element_text(size=20, angle=0))
如您所见，我根据 x-axis 变量的大写添加了水平 space。但是现在，我还想根据另一个因素变量添加垂直间距。我只是将代码更改为：
ggplot(mockdata, aes(variable, Measurement)) +
geom_tile(aes(fill = mockdata$plotval), colour = "dark red") + facet_grid(category~type, scales='free', space='free') + scale_fill_gradient2(limits=c(-20, 20),high = "firebrick3", low = "dodgerblue4") +
theme_minimal() + theme(axis.text.x=element_text(size=28, angle=90), axis.text.y=element_text(size=28, face = "italic")) +
labs(title="", x="", y="", fill="") + theme(strip.text.x=element_blank(),strip.text.y=element_text(size=20, angle=0))
上面给出了我想要的外观，但请注意，这些值都乱七八糟！例如 20:b 和 20:c 在第一个图中是蓝色的，但在第二个图中是红色的。第一个图包含正确的值。
几个小时以来，我一直在疯狂地检查我的因子标签，但我似乎找不到问题所在。我想要一个解决方案，比如如何将垂直 space 添加到我的第一个图中，使用 facet_grid 或不使用，这都没有关系，任何可以解释什么的人都会得到特别奖励积分我的第二个情节出错了。
dput(mockdata)
structure(list(Measurement = structure(c(20L, 19L, 18L, 17L,
16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L,
2L, 1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L,
9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 20L, 19L, 18L, 17L, 16L,
15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L,
1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L,
8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 20L, 19L, 18L, 17L, 16L, 15L,
14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L,
20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L,
7L, 6L, 5L, 4L, 3L, 2L, 1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L,
13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 20L,
19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L,
6L, 5L, 4L, 3L, 2L, 1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L,
12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L), .Label = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
"14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24",
"25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35",
"36", "37", "38", "39", "40", "41", "42"), class = "factor"),
category = structure(c(3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L,
8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L,
8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L,
8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 8L), .Label = c("x1", "x2", "x3", "x4",
"x5", "x6", "x7", "x8", "x9"), class = "factor"), variable = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
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7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("A",
"B", "C", "a", "b", "c", "d", "e", "f"), class = "factor"),
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3.71593452037349, -5.74412509417193, -2.89944564130995, 0.971689966478527,
-7.1470559653621, -5.72231869642199, -5.67972109772494, 2.8539446575791,
-2.71662233198973, -6.1103007681231, -0.763747253307228,
2.87054648892738, 0.430922536570879, 3.77693890461838, -6.50274699717143,
-4.91618826741447, -6.42941204883235, 0.748910833398874,
-1.70023246253767, -5.61791916284656, 8.58346572108797, 7.63434201313085,
9.07436311632148, 3.59282303012629, 5.9556117321782, 4.26938428807087,
0.254017783801932, -2.91898903187407, -6.79130924645919,
-3.44450755141886, -2.95362541370008, 2.30636810656965, 0.133066085813731,
-1.86629336596673, -5.44811521866938, 2.96581392463054, -5.14540146724019,
-4.27705097606589, -4.60146383671481, -4.06649255708194,
-0.720361250431011, 3.02166727906391, 0.154186465719317,
-6.57791669570072, -6.02051198354564, -5.797507843288, 3.24850317060798
), type = c("1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2")), .Names = c("Measurement", "category", "variable",
"Pval", "effect", "direction", "plotval", "type"), row.names = c(23L,
24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L,
37L, 38L, 39L, 40L, 41L, 42L, 65L, 66L, 67L, 68L, 69L, 70L, 71L,
72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L,
107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L,
118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 149L, 150L,
151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L,
162L, 163L, 164L, 165L, 166L, 167L, 168L, 191L, 192L, 193L, 194L,
195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 205L,
206L, 207L, 208L, 209L, 210L, 233L, 234L, 235L, 236L, 237L, 238L,
239L, 240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 248L, 249L,
250L, 251L, 252L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 282L,
283L, 284L, 285L, 286L, 287L, 288L, 289L, 290L, 291L, 292L, 293L,
294L, 317L, 318L, 319L, 320L, 321L, 322L, 323L, 324L, 325L, 326L,
327L, 328L, 329L, 330L, 331L, 332L, 333L, 334L, 335L, 336L, 359L,
360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L, 370L,
371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L), class = "data.frame")
非常感谢您的帮助。
像这里那样做（在 aes fill 中应该是列名称而不是向量）：
plot <- ggplot(mockdata, aes(variable, Measurement, fill = plotval)) +
geom_tile(colour = "dark red") +
facet_grid(category~type, scales='free', space='free') +
scale_fill_gradient2(limits=c(-20, 20),high = "firebrick3", low = "dodgerblue4") +
theme_minimal() +
theme(axis.text.x=element_text(size=28, angle=90),
axis.text.y=element_text(size=28, face = "italic"),
strip.text.x=element_blank(),
strip.text.y=element_text(size=20, angle=0)) +
labs(title="", x="", y="", fill="")
我有这个图是我在 R 中使用 ggplot2 生成的。
生成此图的代码是：
plot <- ggplot(mockdata, aes(variable, Measurement)) +
geom_tile(aes(fill = mockdata$plotval), colour = "dark red") + facet_grid(~type, scales='free', space='free') + scale_fill_gradient2(limits=c(-20, 20),high = "firebrick3", low = "dodgerblue4") +
theme_minimal() + theme(axis.text.x=element_text(size=28, angle=90), axis.text.y=element_text(size=28, face = "italic")) +
labs(title="", x="", y="", fill="") + theme(strip.text.x=element_blank(),strip.text.y=element_text(size=20, angle=0))
如您所见，我根据 x-axis 变量的大写添加了水平 space。但是现在，我还想根据另一个因素变量添加垂直间距。我只是将代码更改为：
ggplot(mockdata, aes(variable, Measurement)) +
geom_tile(aes(fill = mockdata$plotval), colour = "dark red") + facet_grid(category~type, scales='free', space='free') + scale_fill_gradient2(limits=c(-20, 20),high = "firebrick3", low = "dodgerblue4") +
theme_minimal() + theme(axis.text.x=element_text(size=28, angle=90), axis.text.y=element_text(size=28, face = "italic")) +
labs(title="", x="", y="", fill="") + theme(strip.text.x=element_blank(),strip.text.y=element_text(size=20, angle=0))
几个小时以来，我一直在疯狂地检查我的因子标签，但我似乎找不到问题所在。我想要一个解决方案，比如如何将垂直 space 添加到我的第一个图中，使用 facet_grid 或不使用，这都没有关系，任何可以解释什么的人都会得到特别奖励积分我的第二个情节出错了。
dput(mockdata)
structure(list(Measurement = structure(c(20L, 19L, 18L, 17L,
16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L,
2L, 1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L,
9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 20L, 19L, 18L, 17L, 16L,
15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L,
1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L,
8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 20L, 19L, 18L, 17L, 16L, 15L,
14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L,
20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L,
7L, 6L, 5L, 4L, 3L, 2L, 1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L,
13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 20L,
19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L,
6L, 5L, 4L, 3L, 2L, 1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L,
12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L), .Label = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
"14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24",
"25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35",
"36", "37", "38", "39", "40", "41", "42"), class = "factor"),
category = structure(c(3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L,
8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L,
8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 3L, 4L, 4L, 4L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L,
8L, 3L, 4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 8L), .Label = c("x1", "x2", "x3", "x4",
"x5", "x6", "x7", "x8", "x9"), class = "factor"), variable = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("A",
"B", "C", "a", "b", "c", "d", "e", "f"), class = "factor"),
Pval = c(42.7006323958918, 0.0125450399252769, 5675.14711907005,
0.0931416002606762, 0.00232094737764211, 0.000216076621032813,
0.00396622838836271, 6.52388877927194, 11.5722289932645,
0.000334263699328083, 27.0431686878052, 327952.740805895,
0.0297787229949035, 0.585782163292434, 36.9115682159781,
4165.1649504391, 52.9995249740471, 6186.78975112519, 7.85106982537471e-05,
294938.11483059, 9197376.02201148, 1.56761799701167e-05,
0.687511811844484, 2951357.69281822, 0.281822039246925, 0.550068489025187,
12173.6665259036, 0.000654862439823334, 0.00448573254652099,
7319.35702087325, 315.359225529075, 5848068.52630072, 13904253.2299896,
6.66288479812568, 69897.571357397, 10503715.2130853, 46675.3343032854,
80.0136913688775, 2.74356992078766, 348201.375999632, 1.07521153836152e-06,
1.98853436745688e-05, 0.400197989005822, 3511901.4371568,
164.269778446034, 3.24558993609286, 65394.4866129748, 55.4132232221762,
4.83069482078633, 38.6041603684776, 37.9912973942591, 104522.510922666,
6345.6890512069, 0.0193603214641399, 9.18538323079328e-09,
0.000103476856048387, 0.000555384674445469, 3.22868352890832e-05,
113007.480780211, 0.000160838575168945, 0.00217855024162056,
8.64496348775897e-06, 7.06449122162668e-07, 0.619370137929941,
0.270921839221627, 0.011388566962421, 937781.722037049, 652.688753412217,
47171.0329654517, 8.70296668276766, 8276277.85721442, 28353.82586081,
175700.845731391, 1551633.67731154, 689.167798328347, 109.943340419374,
11.3781857520997, 1617599.77065294, 37.1569915088865, 4203.89382661281,
117832.471263455, 1251784.09345768, 535.751672862479, 165398.434479864,
2.55163228104252e-09, 9.8013680674497e-10, 129.319151038722,
556.223625027009, 869.236740102022, 3092.82667967769, 4257.32149187776,
772478.486004829, 15.7002509424478, 0.000219697884882267,
0.000427755809814034, 0.192409289349257, 0.280314538898884,
372.959096370547, 0.00465127237377936, 2.10935354960679e-05,
232459.76019099, 5.77106623224624e-08, 0.0483934897590051,
0.0146558784756261, 1.47248474221649e-08, 0.000222461186585379,
852431.075531575, 528.683263593354, 8298.0240769841, 14.7493364766307,
6.2911608490762, 4536740.5530938, 106.089248136605, 99.5504144351031,
114043.212772726, 253658.532323196, 140833.560642241, 3335.43395071637,
36.6239752632138, 198.244201535186, 14553.9246345935, 2.47559453576517,
1469.76758256116, 4809.5093947632, 2111515.77618631, 3211.80355220151,
0.0046904155982774, 8.1507521777127e-07, 0.000265158173925916,
0.0331951291090042, 9.47798135335384e-10, 0.00629215449841144,
8.27956294929558e-05, 0.000192338169994771, 554785.490344723,
793.314954892235, 0.106735781318401, 14029944.8981012, 527616.898199668,
478322.816562339, 0.00139976568423574, 520.741670562665,
1289142.03044888, 5.80426527938221, 0.00134726649987191,
0.370746844567892, 0.000167132571538772, 3182343.07410991,
82449.5457770316, 2687893.44907279, 0.178274475177317, 50.1455573308552,
414876.812590266, 2.60936167209485e-09, 2.32090832789666e-08,
8.42629935014704e-10, 0.000255374171026513, 1.10761356981753e-06,
5.37793701940977e-05, 0.557162933357393, 829.829809862024,
6184566.2549798, 2782.96376300611, 898.722084215034, 0.0049389188839104,
0.736095078701914, 73.501019996704, 280617.802045198, 0.00108189739567757,
139765.97782083, 18925.6574878606, 39945.1297996732, 11654.4707728977,
5.25244181877881, 0.000951333348397858, 0.701154190998343,
3783700.00624337, 1048363.72082207, 627347.0256674, 0.00056428282172991
), effect = c(-0.00504202541860286, 0.0572728382379748, 0.19355610290193,
0.0908419036193052, 0.0753460915818811, 0.0304533379241126,
0.338999529965851, 0.00450925741610117, 0.0142515711297281,
0.0236642558989115, 0.112084463317692, 0.0355492039503297,
0.046179641636787, 0.0833907727035694, 0.0119081147311255,
0.0409084851564839, 0.00974046553876251, 0.00623992766439915,
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"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2", "2",
"2", "2", "2")), .Names = c("Measurement", "category", "variable",
"Pval", "effect", "direction", "plotval", "type"), row.names = c(23L,
24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L,
37L, 38L, 39L, 40L, 41L, 42L, 65L, 66L, 67L, 68L, 69L, 70L, 71L,
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360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L, 370L,
371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L), class = "data.frame")
非常感谢您的帮助。
像这里那样做（在 aes fill 中应该是列名称而不是向量）：
plot <- ggplot(mockdata, aes(variable, Measurement, fill = plotval)) +
geom_tile(colour = "dark red") +
facet_grid(category~type, scales='free', space='free') +
scale_fill_gradient2(limits=c(-20, 20),high = "firebrick3", low = "dodgerblue4") +
theme_minimal() +
theme(axis.text.x=element_text(size=28, angle=90),
axis.text.y=element_text(size=28, face = "italic"),
strip.text.x=element_blank(),
strip.text.y=element_text(size=20, angle=0)) +
labs(title="", x="", y="", fill="")