Hoi EDi,
Vielen Dank,
Facet_grid ist super! Kannte ich nicht.
Ich möchte meine Daten gerne als mean +/- standard error darstellen (wie in der ersten Abbildung).
Ist dies auch mit der facet_grid option möglich?
Ich nehem an ich muss mit "geom_errorbar" arbeiten. Leider habe ich es trozt langem pröbeln nicht hingekriegt (v.a. da mein datanefile nun anders strukturier ist).
Kannst du mir da weiterhelfen?
Sorry und vielen Dank,
Michi
Code: Alles auswählen
#Load packages
library(ggplot2)
library(gridExtra)
#Individual horizontal grids---------------------------------------------
# Divide by levels of "Compund", in the horizontal direction
#basis + facet_grid(. ~ Compound)
#Only dta for Boll exocarp
dtaBo<-subset(dta,Organ=="Bo")
head(dtaBo)
pd <- position_dodge(1)
basis<- ggplot(dtaBo, aes(x=Treatment, y=Concentration, colour=id))+
geom_point(shape=1)
Bo<-basis+facet_grid(.~Compound)
Bo
DATEN:
> dput(Bo)
structure(list(data = structure(list(Code = structure(c(196L,
208L, 227L, 251L, 2L, 26L, 50L, 74L, 98L, 122L, 146L, 192L, 200L,
212L, 231L, 255L, 277L, 6L, 30L, 54L, 78L, 102L, 126L, 150L,
235L, 259L, 281L, 10L, 34L, 58L, 82L, 106L, 130L, 154L, 166L,
188L, 204L, 216L, 239L, 263L, 285L, 14L, 38L, 62L, 86L, 110L,
134L, 158L, 170L, 180L, 220L, 243L, 267L, 289L, 18L, 42L, 66L,
90L, 114L, 138L, 224L, 247L, 271L, 293L, 22L, 46L, 70L, 94L,
118L, 142L, 162L, 174L, 184L, 196L, 208L, 227L, 251L, 2L, 26L,
50L, 74L, 98L, 122L, 146L, 192L, 200L, 212L, 231L, 255L, 277L,
6L, 30L, 54L, 78L, 102L, 126L, 150L, 235L, 259L, 281L, 10L, 34L,
58L, 82L, 106L, 130L, 154L, 166L, 188L, 204L, 216L, 239L, 263L,
285L, 14L, 38L, 62L, 86L, 110L, 134L, 158L, 170L, 180L, 220L,
243L, 267L, 289L, 18L, 42L, 66L, 90L, 114L, 138L, 224L, 247L,
271L, 293L, 22L, 46L, 70L, 94L, 118L, 142L, 162L, 174L, 184L,
196L, 208L, 227L, 251L, 2L, 26L, 50L, 74L, 98L, 122L, 146L, 192L,
200L, 212L, 231L, 255L, 277L, 6L, 30L, 54L, 78L, 102L, 126L,
150L, 235L, 259L, 281L, 10L, 34L, 58L, 82L, 106L, 130L, 154L,
166L, 188L, 204L, 216L, 239L, 263L, 285L, 14L, 38L, 62L, 86L,
110L, 134L, 158L, 170L, 180L, 220L, 243L, 267L, 289L, 18L, 42L,
66L, 90L, 114L, 138L, 224L, 247L, 271L, 293L, 22L, 46L, 70L,
94L, 118L, 142L, 162L, 174L, 184L), .Label = c("10BtCBi", "10BtCBo",
"10BtCL", "10BtCPh", "10BtJaBi", "10BtJaBo", "10BtJaL", "10BtJaPh",
"10BtLyBi", "10BtLyBo", "10BtLyL", "10BtLyPh", "10NonCBi", "10NonCBo",
"10NonCL", "10NonCPh", "10NonJaBi", "10NonJaBo", "10NonJaL",
"10NonJaPh", "10NonLyBi", "10NonLyBo", "10NonLyL", "10NonLyPh",
"11BtCBi", "11BtCBo", "11BtCL", "11BtCPh", "11BtJaBi", "11BtJaBo",
"11BtJaL", "11BtJaPh", "11BtLyBi", "11BtLyBo", "11BtLyL", "11BtLyPh",
"11NonCBi", "11NonCBo", "11NonCL", "11NonCPh", "11NonJaBi", "11NonJaBo",
"11NonJaL", "11NonJaPh", "11NonLyBi", "11NonLyBo", "11NonLyL",
"11NonLyPh", "12BtCBi", "12BtCBo", "12BtCL", "12BtCPh", "12BtJaBi",
"12BtJaBo", "12BtJaL", "12BtJaPh", "12BtLyBi", "12BtLyBo", "12BtLyL",
"12BtLyPh", "12NonCBi", "12NonCBo", "12NonCL", "12NonCPh", "12NonJaBi",
"12NonJaBo", "12NonJaL", "12NonJaPh", "12NonLyBi", "12NonLyBo",
"12NonLyL", "12NonLyPh", "13BtCBi", "13BtCBo", "13BtCL", "13BtCPh",
"13BtJaBi", "13BtJaBo", "13BtJaL", "13BtJaPh", "13BtLyBi", "13BtLyBo",
"13BtLyL", "13BtLyPh", "13NonCBi", "13NonCBo", "13NonCL", "13NonCPh",
"13NonJaBi", "13NonJaBo", "13NonJaL", "13NonJaPh", "13NonLyBi",
"13NonLyBo", "13NonLyL", "13NonLyPh", "14BtCBi", "14BtCBo", "14BtCL",
"14BtCPh", "14BtJaBi", "14BtJaBo", "14BtJaL", "14BtJaPh", "14BtLyBi",
"14BtLyBo", "14BtLyL", "14BtLyPh", "14NonCBi", "14NonCBo", "14NonCL",
"14NonCPh", "14NonJaBi", "14NonJaBo", "14NonJaL", "14NonJaPh",
"14NonLyBi", "14NonLyBo", "14NonLyL", "14NonLyPh", "15BtCBi",
"15BtCBo", "15BtCL", "15BtCPh", "15BtJaBi", "15BtJaBo", "15BtJaL",
"15BtJaPh", "15BtLyBi", "15BtLyBo", "15BtLyL", "15BtLyPh", "15NonCBi",
"15NonCBo", "15NonCL", "15NonCPh", "15NonJaBi", "15NonJaBo",
"15NonJaL", "15NonJaPh", "15NonLyBi", "15NonLyBo", "15NonLyL",
"15NonLyPh", "16BtCBi", "16BtCBo", "16BtCL", "16BtCPh", "16BtJaBi",
"16BtJaBo", "16BtJaL", "16BtJaPh", "16BtLyBi", "16BtLyBo", "16BtLyL",
"16BtLyPh", "16NonCBi", "16NonCBo", "16NonCL", "16NonCPh", "16NonLyBi",
"16NonLyBo", "16NonLyL", "16NonLyPh", "17BtLyBi", "17BtLyBo",
"17BtLyL", "17BtLyPh", "17NonCBi", "17NonCBo", "17NonCL", "17NonCPh",
"17NonLyBi", "17NonLyBo", "17NonLyL", "17NonLyPh", "18BtLyL",
"18BtLyPh", "18NonCBi", "18NonCBo", "18NonCL", "18NonCPh", "18NonLyBi",
"18NonLyBo", "18NonLyL", "18NonLyPh", "19BtLyBi", "19BtLyBo",
"19BtLyL", "19BtLyPh", "4BtJaBi", "4BtJaBo", "4BtJaL", "4BtJaPh",
"5BtCBi", "5BtCBo", "5BtCL", "5BtCPh", "5BtJaBi", "5BtJaBo",
"5BtJaL", "5BtJaPh", "5NonCBi", "5NonCBo", "5NonCL", "5NonCPh",
"6BtCBi", "6BtCBo", "6BtCL", "6BtCPh", "6BtJaBi", "6BtJaBo",
"6BtJaL", "6BtJaPh", "6NonCBi", "6NonCBo", "6NonCL", "6NonCPh",
"6NonJaBi", "6NonJaBo", "6NonJaL", "6NonJaPh", "6NonLyBi", "6NonLyBo",
"6NonLyL", "7BtCBi", "7BtCBo", "7BtCL", "7BtCPh", "7BtJaBi",
"7BtJaBo", "7BtJaL", "7BtJaPh", "7BtLyBi", "7BtLyBo", "7BtLyL",
"7BtLyPh", "7NonCBi", "7NonCBo", "7NonCL", "7NonCPh", "7NonJaBi",
"7NonJaBo", "7NonJaL", "7NonJaPh", "7NonLyBi", "7NonLyBo", "7NonLyL",
"7NonLyPh", "8BtCBi", "8BtCBo", "8BtCL", "8BtCPh", "8BtJaBi",
"8BtJaBo", "8BtJaL", "8BtJaPh", "8BtLyBi", "8BtLyBo", "8BtLyL",
"8BtLyPh", "8NonCBi", "8NonCBo", "8NonCL", "8NonCPh", "8NonJaBi",
"8NonJaBo", "8NonJaL", "8NonJaPh", "8NonLyBi", "8NonLyBo", "8NonLyL",
"8NonLyPh", "9BtCL", "9BtCPh", "9BtJaBi", "9BtJaBo", "9BtJaL",
"9BtJaPh", "9BtLyBi", "9BtLyBo", "9BtLyL", "9BtLyPh", "9NonCBi",
"9NonCBo", "9NonCL", "9NonCPh", "9NonJaBi", "9NonJaBo", "9NonJaL",
"9NonJaPh", "9NonLyBi", "9NonLyBo", "9NonLyL", "9NonLyPh"), class = "factor"),
Plant = 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, 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, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
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, 2L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 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, 2L, 2L), .Label = c("Bt",
"Non"), class = "factor"), id = structure(c(1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 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,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 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, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L), .Label = c("C", "Ja", "Ly"), class = "factor"),
Treatment = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L
), .Label = c("C-Bt", "C-Non", "Ja-Bt", "Ja-Non", "Ly-Bt",
"Ly-Non"), class = "factor"), Organ = structure(c(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, 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, 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, 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, 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, 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, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("Bi", "Bo", "L",
"Ph"), class = "factor"), Concentration = c(3935.689611,
8060.664482, 2281.465638, 5719.008164, 1611.38625, 2132.34965,
2187.676493, 3039.428884, 3993.777964, 3502.229882, 2020.688647,
3213.686322, 7028.61464, 4770.675972, 3035.168014, 8642.248563,
2946.398279, 3289.781609, 5032.477756, 5440.887547, 2478.323599,
4815.163835, 2539.407887, 5918.999001, 10510.90724, 808.6116301,
440.4003209, 2785.149946, 1071.478333, 1217.490013, 1658.539035,
2982.333191, 7165.943452, 10673.8556, 1110.980146, 2829.680288,
6216.189097, 9180.609844, 8087.030956, 3332.545477, 5931.814446,
4503.450807, 3431.927347, 4062.550942, 6430.964819, 5283.631556,
2082.162727, 3368.106731, 6401.40136, 8167.555039, 9527.18461,
8608.698693, 1830.015539, 2732.112282, 1598.250224, 4720.255449,
5491.619216, 1529.727368, 6519.487409, 3254.100484, 6267.562033,
4629.837673, 1918.878122, 2336.323956, 5424.518369, 7298.482594,
4361.15214, 4334.997413, 2482.474963, 1895.896192, 4671.292119,
4178.360499, 2405.682441, 1284.019432, 1674.442517, 799.9335287,
932.7571661, 370.4559106, 846.703517, 549.9248616, 789.6151587,
594.8705974, 859.3815222, 575.8687616, 1037.544745, 2219.235939,
1041.785201, 1011.382482, 2699.318068, 1634.197557, 1479.435513,
1177.141188, 1227.704602, 1025.624231, 2189.548351, 441.3633148,
1156.550535, 2962.96865, 2024.153977, 257.149995, 232.2616623,
557.4817054, 668.819419, 380.0787558, 845.8719866, 1500.349734,
1738.181101, 361.9910606, 943.3662932, 966.5731312, 1482.887607,
1353.306253, 573.0129229, 913.5669096, 973.8458798, 813.0125106,
660.8452053, 1092.07248, 1405.900165, 595.1279591, 625.2362309,
988.8270204, 1038.985553, 1524.816098, 1423.419233, 624.5280615,
869.7016831, 312.8947838, 1273.763844, 1027.384444, 825.7598435,
4.115277933, 1059.328081, 1750.696528, 923.3749983, 600.9614091,
654.9112225, 1260.283849, 1548.494828, 1170.424038, 1240.990804,
532.3258118, 822.2514099, 1183.313986, 1461.781249, 1222.444283,
14067.76262, 16174.79596, 34557.42327, 7277.143883, 41323.14932,
16283.7693, 6743.499014, 16474.24999, 10115.95925, 9815.647653,
5187.755275, 12623.8923, 18489.11626, 8828.023054, 11328.5554,
34530.03424, 31861.36973, 11269.61768, 13304.5835, 10119.05943,
12910.37921, 33654.38033, 14637.60366, 14841.14924, 37934.94733,
37932.95201, 5739.410634, 18033.256, 14133.10165, 17764.12583,
6411.387344, 14182.63911, 32829.99722, 13427.86016, 6818.972296,
19575.58312, 12121.32908, 18113.74662, 20987.82154, 6191.650292,
8210.901366, 17399.26984, 19788.01158, 18843.43296, 22610.80289,
44001.60252, 20845.44286, 20196.82089, 29792.81286, 16574.78057,
24940.5136, 17371.98751, 9858.167505, 4360.133275, 6686.594934,
27294.12446, 29193.94356, 7296.455147, 257.4817124, 20840.23273,
12079.85069, 7498.046956, 10697.94738, 12113.93228, 10718.15824,
1894.082328, 10543.02994, 11770.16173, 8800.497485, 20132.77665,
19958.80261, 31486.64367, 27086.27766), Compound = structure(c(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, 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, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 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,
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, 2L, 2L, 2L), .Label = c("Gossypol", "Heliocide",
"Hemigossypolone"), class = "factor")), .Names = c("Code",
"Plant", "id", "Treatment", "Organ", "Concentration", "Compound"
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