R

时间:2019-01-29 00:25:50

标签: r ggplot2

我有一个大规模的数据集。我想分别绘制蓝色和红色分别为零和零以下的正值和负值的条形图。当我有少量数据时,它可以正常工作,但不适用于此数据(我的X轴范围很大)。如果我添加color =“ black”,我可以看到这些条,但不是我想要的。有什么建议么?

 tt <- structure(list(values = c(1127879L, 1127880L, 1127881L, 1127882L, 
1127883L, 1127884L, 1127885L, 1127886L, 1127887L, 1127888L, 1127889L, 
1127890L, 1127891L, 1127892L, 1127893L, 1127894L, 1127895L, 1127896L, 
1127897L, 1127898L, 1127899L, 1127900L, 1127901L, 1127902L, 1127903L, 
1127904L, 1127905L, 1127906L, 1635186L, 1635187L, 1635188L, 1635189L, 
1635190L, 1635191L, 1635192L, 1635193L, 1635194L, 1635195L, 1635196L, 
1635197L, 1635198L, 1635199L, 1635200L, 1635201L, 1635202L, 1635203L, 
1635204L, 1635205L, 1635206L, 1635207L, 1635208L, 1635209L, 1635210L, 
1635211L, 1635212L, 1635213L, 1635214L, 1635215L, 1635216L, 1635217L, 
1635218L, 1635219L, 1635220L, 2000104L, 2000105L, 2000106L, 2000107L, 
2000108L, 2000109L, 2000110L, 2000111L, 2000112L, 2000113L, 2000114L, 
2000115L, 2000116L, 2000117L, 2000118L, 2000119L, 2000120L, 2000121L, 
2000122L, 3109790L, 3109791L, 3109792L, 3109793L, 3109794L, 3109795L, 
3109796L, 3109797L, 3109798L, 3109799L, 3109800L, 3109801L, 3109802L, 
3109803L, 3109804L, 3109805L, 3109806L, 3109807L, 3109808L, 3109809L, 
3109810L, 3109811L, 3109812L, 3109813L, 3109814L, 3109815L, 3109816L, 
3109817L, 3109818L, 6123103L, 6123104L, 6123105L, 6123106L, 6123107L, 
6123108L, 6123109L, 6123110L, 6123111L, 6123112L, 6123113L, 6123114L, 
6123115L, 6123116L, 6123117L, 6123118L, 6123119L, 6123120L, 6123121L, 
6123122L, 6123123L, 6123124L, 6123125L, 11932116L, 11932117L, 
11932118L, 11932119L, 11932120L, 11932121L, 11932122L, 11932123L, 
11932124L, 11932125L, 11932126L, 11932127L, 11932128L, 11932129L, 
11932130L, 11932131L, 11932132L, 11932133L, 11932134L, 11932135L, 
11932136L, 11932137L, 11932138L, 11932139L, 11932140L, 11932141L, 
11932142L, 11932143L, 16017144L, 16017145L, 16017146L, 16017147L, 
16017148L, 16017149L, 16017150L, 16017151L, 16017152L, 16017153L, 
16017154L, 16017155L, 16017156L, 16017157L, 16017158L, 16017159L, 
16017160L, 16017161L, 16017162L, 16017163L, 16017164L, 16017165L, 
16017166L, 16017167L, 16017168L, 16017169L, 16017170L, 16017171L, 
20040857L, 20040858L, 20040859L, 20040860L, 20040861L, 20040862L, 
20040863L, 20040864L, 20040865L, 20040866L, 20040867L, 20040868L, 
20040869L, 20040870L, 20040871L, 20040872L, 20040873L, 20040874L, 
20040875L, 20040876L, 20040877L, 20040878L, 20040879L, 20040880L, 
20040881L, 20040882L, 20040883L, 20040884L, 20040885L, 20040886L, 
20040887L, 20040888L, 20040889L, 20040890L, 20040891L, 21558616L, 
21558617L, 21558618L, 21558619L, 21558620L, 21558621L, 21558622L, 
21558623L, 21558624L, 21558625L, 21558626L, 21558627L, 21558628L, 
21558629L, 21558630L, 21558631L, 21558632L, 21558633L, 21558634L, 
21558635L, 21558636L, 21558637L, 21562745L, 21562746L, 21562747L, 
21562748L, 21562749L, 21562750L, 21562751L, 21562752L, 21562753L, 
21562754L, 21562755L, 21562756L, 21569092L, 21569093L, 21569094L, 
21569095L, 21569096L, 21569097L, 21569098L, 21569099L, 21569100L, 
21569101L, 21569102L, 21569103L, 21569104L, 21569105L, 21569106L, 
21569107L, 21569108L, 21569109L, 21569110L, 21569111L, 21569112L, 
21569113L, 21573222L, 21573223L, 21573224L, 21573225L, 21573226L, 
21573227L, 21573228L, 21573229L, 21573230L, 21573231L, 21573232L, 
21573233L, 21579570L, 21579571L, 21579572L, 21579573L, 21579574L, 
21579575L, 21579576L, 21579577L, 21579578L, 21579579L, 21579580L, 
21579581L, 21579582L, 21579583L, 21579584L, 21579585L, 21579586L, 
21579587L, 21579588L, 21579589L, 21579590L, 21579591L, 21583700L, 
21583701L, 21583702L, 21583703L, 21583704L, 21583705L, 21583706L, 
21583707L, 21583708L, 21583709L, 21583710L, 21583711L, 21590024L, 
21590025L, 21590026L, 21590027L, 21590028L, 21590029L, 21590030L, 
21590031L, 21590032L, 21590033L, 21590034L, 21590035L, 21590036L, 
21590037L, 21590038L, 21590039L, 21590040L, 21590041L, 21590042L, 
21590043L, 21590044L, 21594151L, 21594152L, 21594153L, 21594154L, 
21594155L, 21594156L, 21594157L, 21594158L, 21594159L, 21594160L, 
21594161L, 21594162L, 21594163L, 21600508L, 21600509L, 21600510L, 
21600511L, 21600512L, 21600513L, 21600514L, 21600515L, 21600516L, 
21600517L, 21600518L, 21600519L, 21600520L, 21600521L, 21600522L, 
21600523L, 21600524L, 21600525L, 21600526L, 21600527L, 21600528L, 
21600529L, 22716366L, 22716367L, 22716368L, 22716369L, 22716370L, 
22716371L, 22716372L, 22716373L, 22716374L, 22716375L, 22716376L, 
22716377L, 22716378L, 22716379L, 22716380L, 22716381L, 22716382L, 
22716383L, 22716384L, 23278196L, 23278197L, 23278198L, 23278199L, 
23278200L, 23278201L, 23278202L, 23278203L, 23278204L, 23278205L, 
23278206L, 23278207L, 23278208L, 23481761L, 23481762L, 23481763L, 
23481764L, 23481765L, 23481766L, 23481767L, 23481768L, 23481769L, 
23481770L, 23481771L, 23481772L, 23481773L, 23481774L, 23481775L, 
23481776L, 23481777L, 23481778L, 23481779L, 26899510L, 26899511L, 
26899512L, 26899513L, 26899514L, 26899515L, 26899516L, 26899517L, 
26899518L, 26899519L, 26899520L, 26899521L, 26899522L, 26899523L, 
26899524L, 26899525L, 26899526L, 26899527L, 26899528L, 26899529L, 
26899530L, 26899531L, 26899532L, 26899533L, 26899534L, 26899535L, 
26899536L, 26899537L, 34163618L, 34163619L, 34163620L, 34163621L, 
34163622L, 34163623L, 34163624L, 34163625L, 34163626L, 34163627L, 
34163628L, 34163629L, 34163630L, 34163631L, 34163632L, 34163633L, 
34163634L, 34163635L, 34163636L, 34163637L, 34163638L, 34163639L, 
34163640L, 34163641L, 34163642L, 34163643L, 34163644L, 34163645L, 
34163646L, 34163647L, 34163648L, 34163649L, 34163650L, 34163651L, 
34163652L, 36970116L, 36970117L, 36970118L, 36970119L, 36970120L, 
36970121L, 36970122L, 36970123L, 36970124L, 36970125L, 36970126L, 
36970127L, 36970128L, 36970129L, 36970130L, 36970131L, 36970132L, 
36970133L, 26580745L, 26580746L, 26580747L, 26580748L, 26580749L, 
26580750L, 26580751L, 26580752L, 26580753L, 26580754L, 26580755L, 
26580756L, 26580757L, 26580758L, 26580759L, 26580760L, 26580761L, 
26580762L, 26580763L, 26580764L, 26580765L, 26580766L, 26580767L, 
26580768L, 26580769L, 26580770L, 26580771L, 26580772L, 26580773L, 
26580774L, 26580775L, 26580776L, 26580777L), chr = 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, 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, 2L, 2L, 2L, 2L, 2L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
6L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 
14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 
14L, 14L, 14L, 14L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
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NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), .Label = c("Ch1", "Ch2", 
"Ch3", "Ch4", "Ch5", "Ch6", "Ch7", "Ch8", "Ch9", "Ch10", "Ch11", 
"Ch12", "Ch13", "Ch14", "Ch15", "Ch16"), 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, 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, 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, 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, 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, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
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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, 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, 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, 1L, 1L, 1L, 1L, 1L, 1L, 
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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, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
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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, 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, 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, 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, 
2L, 2L, 2L), .Label = c("pos_coverage", "neg_coverage"), class = "factor"), 
    value = c(28544, 28897, 30108, 31572, 31692, 31830, 31922, 
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    26875, 23675, 23775, 24174, 24175, 24182, 24189, 24196, 24198, 
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    20872, 20872, 20874, 20875, 20876, 20877, 20884, 20889, 20888, 
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情节

ggplot(tt, aes(values, value)) +
        geom_bar(stat = "identity", aes(fill = value < 0)) +
        # geom_bar(stat = "identity", aes(fill = value < 0), color="black") +
        scale_fill_manual(guide = FALSE, breaks = c(TRUE, FALSE), values=c("blue", "red"))+
        scale_y_continuous("Coverage") +
        scale_x_continuous(breaks = c(1419421, 3184713, 5000345, 6846291, 8724752, 10776994, 12882490, 15005355, 17304861, 19739543, 22223374, 25046338, 27919656, 31271109, 34954615, 38906597), labels = c( "Chr1",  "Chr2" , "Chr3",  "Chr4",  "Chr5",  "Chr6",  "Chr7" , "Chr8",  "Chr9",  "Chr10", "Chr11", "Chr12", "Chr13", "Chr14", "Chr15", "Chr16"))

1 个答案:

答案 0 :(得分:1)

那么也许用蓝色和红色表示Function CSTConvert(Val As Range) As Long Select Case Right(Val, 1) Case "M" CSTConvert = Left(Val, Len(Val) - 1) * (10 ^ 6) Case "K" CSTConvert = Left(Val, Len(Val) - 1) * (10 ^ 3) End Select End Function ,而不是color

fill

enter image description here