1
我无法弄清楚为什么当我绘制它们时，我的价值观不合理。防爆。 x轴0显示值为0.2，x轴0.2显示值为0.6，x轴0.6显示1.2和x轴的值1.2显示值为0.阴谋破坏
R版本2.15.2（2012-10-26） - “捣蛋”在Mac OS X上运行10.6.8
方法秒杀ELISA试剂盒鱼谱浓CONC2
1 Mekebri CNTRL AbraxisRBT abraxis rbt 450 0.0900000 0.09
2 Mekebri CNTRL AbraxisRBT abraxis rbt 450 0.0700000 0.09
3 Mekebri CNTRL AbraxisRBT abraxis rbt 450 0.0700000 0.08
4 Mekebri CNTRL EnviroRBT enviro rbt 450 0.0900000 0.09
5 Mekebri CNTRL EnviroRBT enviro rbt 450 0.0700000 0.09
6 Mekebri CNTRL EnviroRBT enviro rbt 450 0.0700000 0.08
7 Mekebri 0.2 AbraxisRBT abraxis rbt 450 0.1100000 0.12
8 Mekebri 0.2 AbraxisRBT abraxis rbt 450 0.3000000 0.32
9 Mekebri 0.2 AbraxisRBT abraxis rbt 450 0.1000000 0.10
10 Mekebri 0.2 EnviroRBT enviro rbt 450 0.1100000 0.12
11 Mekebri 0.2 EnviroRBT enviro rbt 450 0.3000000 0.32
12 Mekebri 0.2 EnviroRBT enviro rbt 450 0.1000000 0.10
13 Mekebri 0.6 AbraxisRBT abraxis rbt 450 0.1600000 0.16
14 Mekebri 0.6 AbraxisRBT abraxis rbt 450 0.1800000 0.18
15 Mekebri 0.6 AbraxisRBT abraxis rbt 450 0.1700000 0.17
16 Mekebri 0.6 EnviroRBT enviro rbt 450 0.1600000 0.16
17 Mekebri 0.6 EnviroRBT enviro rbt 450 0.1800000 0.18
18 Mekebri 0.6 EnviroRBT enviro rbt 450 0.1700000 0.17
19 Mekebri 1.2 AbraxisRBT abraxis rbt 450 0.9680557 0.963486175
20 Mekebri 1.2 AbraxisRBT abraxis rbt 450 0.6040148 0.622156567
21 Mekebri 1.2 AbraxisRBT abraxis rbt 450 0.5665602 0.5849501
22 Mekebri 1.2 EnviroRBT enviro rbt 450 0.9680557 0.963486175
23 Mekebri 1.2 EnviroRBT enviro rbt 450 0.6040148 0.622156567
24 Mekebri 1.2 EnviroRBT enviro rbt 450 0.5665602 0.5849501
plot(c(0,0.2,0.6,1.2),
with(mc, tapply(conc2, list(kit,spike), mean,na.rm=T))[1,],
type="b",lwd=2,
ylim=c(0,1),
xlab=expression(paste("Spike, ",mu,"g/L")),
ylab=expression(paste(mu,"g/L")),
col="blue")
points(c(0,0.2,0.6,1.2),
with(mc, tapply(conc2, list(kit,spike), mean,na.rm=T))[2,],
type="b",lwd=2,
ylim=c(0,1),
col="red")
legend(0.2,0.8,lty=1,lwd=2,
col=c("blue","red"),legend=c("Abraxis","EnviroLogix"))
dput(head(mc))
structure(list(method = structure(c(3L, 3L, 3L, 3L, 3L, 3L), .Label = c("Geis",
"Mag", "Mekebri"), class = "factor"), spike = structure(c(4L,
4L, 4L, 4L, 4L, 4L), .Label = c("0.2", "0.6", "1.2", "CNTRL"), class = "factor"),
elisa = structure(c(2L, 2L, 2L, 2L, 2L, 1L), .Label = c("AbraxisBlank",
"AbraxisRBT", "EnviroBlank", "EnviroRBT"), class = "factor"),
kit = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("Abraxis",
"Enviro"), class = "factor"), fish = structure(c(2L, 2L,
2L, 2L, 2L, 1L), .Label = c("blank", "rbt"), class = "factor"),
spectral = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("450",
"600", "scan"), class = "factor"), conc = structure(c(1L,
1L, 1L, 8L, 1L, 2L), .Label = c("> DL", ">DL", "0", "0.01",
"0.02", "0.03", "0.04", "0.05", "0.06", "0.07", "0.08", "0.09",
"0.1", "0.11", "0.12", "0.13", "0.14", "0.15", "0.16", "0.17",
"0.18", "0.19", "0.2", "0.21", "0.22", "0.23", "0.24", "0.25",
"0.26", "0.27", "0.28", "0.29", "0.294871066", "0.3", "0.308253804",
"0.31", "0.32", "0.33", "0.34", "0.344304772", "0.35", "0.350277282",
"0.353189188", "0.359024076", "0.36", "0.360435916", "0.37",
"0.370993533", "0.37858631", "0.378888547", "0.38", "0.384568909",
"0.39", "0.4", "0.401289641", "0.41", "0.42", "0.43", "0.44",
"0.45", "0.46", "0.47", "0.473548535", "0.48", "0.489942496",
"0.49", "0.5", "0.51", "0.52", "0.53", "0.54", "0.55", "0.56",
"0.566560247", "0.57", "0.58", "0.5849501", "0.6", "0.604014755",
"0.61", "0.62", "0.622156567", "0.64", "0.65", "0.66", "0.67",
"0.69", "0.7", "0.71", "0.73", "0.75", "0.77", "0.78", "0.79",
"0.8", "0.81", "0.82", "0.83", "0.84", "0.85", "0.87", "0.88",
"0.9", "0.91", "0.92", "0.963486175", "0.968055663", "0.97",
"0.98", "1", "1.01", "1.02", "1.03", "1.04", "1.1", "1.11",
"1.2"), class = "factor"), conc2 = c(0, 0, 0, 0.05, 0, 0)), .Names = c("method",
"spike", "elisa", "kit", "fish", "spectral", "conc", "conc2"), row.names = c(NA,
6L), class = "data.frame")
请重复此操作。看到这里：http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example – 2013-03-10 23:13:59
当这种情况发生在我身上时，通常是因为其中一列出乎意料地是类的因素'。你可以把你的问题粘贴到'dput（head（mc））'的结果中，这样我们就可以检查了吗？ – Ben 2013-03-10 23:16:25
希望我现在增加了足够的信息... – Ellen 2013-03-10 23:55:37