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我正在使用facet_grid繪製我的數據。我有三個網格圖,我想修復兩個圖的ymax(或ylimit)。目前,我使用下面的代碼在ggplot2中自定義facet_grid中的ymax
f <- ggplot(data=newmel,aes(x=timestamp,y=value,ymin=0,ymax=value))+facet_grid(variable~., scales = "free_y")+
theme(axis.title.x=element_blank(),axis.title.y=element_blank())
f1 <- f + geom_linerange(subset=.(variable=="hpanom")) # require(plyr) for dot function
f2 <- f1 + geom_linerange(subset=.(variable=="lofanom"))
f3 <- f2 + geom_line(subset=.(variable=="power"))
f3
輸出情節是:
我想從0-1解決前兩個(hpanom和lofanom)範圍內的情節和我做不關心第三個。這是因爲前兩個代表概率,因此範圍總是固定的,而第三個代表的是我不知道範圍的值。
在這裏,我附上我的整個數據集,從而使之成爲容易複製的情況下
structure(list(timestamp = structure(c(1438450200, 1438536600,
1438623000, 1438709400, 1438795800, 1438882200, 1438968600, 1439055000,
1439141400, 1439227800, 1439314200, 1439400600, 1439487000, 1439573400,
1439659800, 1439746200, 1439832600, 1439919000, 1440005400, 1440091800,
1440178200, 1440264600, 1440351000, 1440437400, 1440523800, 1440610200,
1440696600, 1440783000, 1440869400, 1440955800, 1438450200, 1438536600,
1438623000, 1438709400, 1438795800, 1438882200, 1438968600, 1439055000,
1439141400, 1439227800, 1439314200, 1439400600, 1439487000, 1439573400,
1439659800, 1439746200, 1439832600, 1439919000, 1440005400, 1440091800,
1440178200, 1440264600, 1440351000, 1440437400, 1440523800, 1440610200,
1440696600, 1440783000, 1440869400, 1440955800, 1438450200, 1438536600,
1438623000, 1438709400, 1438795800, 1438882200, 1438968600, 1439055000,
1439141400, 1439227800, 1439314200, 1439400600, 1439487000, 1439573400,
1439659800, 1439746200, 1439832600, 1439919000, 1440005400, 1440091800,
1440178200, 1440264600, 1440351000, 1440437400, 1440523800, 1440610200,
1440696600, 1440783000, 1440869400, 1440955800), tzone = "Asia/Kolkata", tclass = c("POSIXct",
"POSIXt"), class = c("POSIXct", "POSIXt")), variable = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 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, 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, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("power", "hpanom",
"lofanom"), class = "factor"), value = c(713.818544290426, 1.60000010638915e-16,
1588.93456060134, 1080.34496835479, 1602.88616015399, 1325.85664208325,
1487.27242035101, 647.925289288333, 1.60000010638915e-16, 1280.71707200196,
1558.88686231823, 1349.32481298453, 1386.23617766603, 995.841940511863,
961.865845980269, 1153.33076383446, 1601.85509748887, 1346.15843354498,
1209.13461354976, 1060.91957740428, 1963.3986755642, 1995.90120364349,
1.60000010638915e-16, 1391.2765167008, 1198.11633766185, 1202.33001076712,
1508.21685464222, 1299.09592097037, 1.60000010638915e-16, 1.60000010638915e-16,
0.718682639785718, 0.835994256774337, 0.323313580710195, 0.323826587878846,
0.252277897807753, 0.427692277575098, 0, 0.737219412602466, 0.835994256774337,
0.165199776286282, 0.0893388057418736, 0.20964070918484, 0.13145481071022,
0.408292163070401, 0.824540692174425, 0.71239540630304, 0.323313580710195,
0.485828441524218, 0.188258288292337, 0.231165659725455, 0.907512281748878,
0.951462340841186, 0.835994256774337, 0.29824669841755, 0.245223685520087,
0.108813825489535, 0.387339161244294, 0.359556716396615, 0.835994256774337,
0.835994256774337, 0.4, 0.43, 0.13, 0.28, 0.11, 0.1, 0.13, 0.43,
0.43, 0.13, 0.11, 0.01, 0.12, 0.3, 0.6, 0.4, 0.2, 0.11, 0.1,
0.15, 0.67, 1, 0.43, 0.08, 0.08, 0.12, 0.07, 0.08, 0.43, 0.43
)), row.names = c(NA, -90L), .Names = c("timestamp", "variable",
"value"), class = "data.frame")