当我绘制它们时，我无法弄清楚为什么我的值是乱序的。前任。x 轴 0 显示 0.2 的值，x 轴 0.2 显示 0.6 的值，x 轴 0.6 显示 1.2 的值，x 轴 1.2 显示 0 的值。
R 版本 2.15.2 (2012-10-26) -- 在 Mac OS X 10.6.8 上运行“不给糖就捣蛋”
方法 穗 ELISA 试剂盒 鱼 光谱 conc 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")