这是我的数据
> longnacl
essays Ionic_Strength Water_Absorbancy
1 NaCl1 0.01 52.70
2 NaCl2 0.01 52.02
3 NaCl3 0.01 52.98
4 NaCl1 0.02 43.90
5 NaCl2 0.02 46.54
6 NaCl3 0.02 43.60
7 NaCl1 0.03 30.40
8 NaCl2 0.03 31.70
9 NaCl3 0.03 31.80
10 NaCl1 0.04 28.00
11 NaCl2 0.04 27.75
12 NaCl3 0.04 26.80
> anova = ezANOVA(data = longnacl ,
+ dv = Water_Absorbancy,
+ wid= essays,
+ within = Ionic_Strength,
+
+ detailed = T,
+ type = 3)
Warning message:
In log(det(U)) : NaNs produced
为什么我没有进行方差分析和莫奇利斯测试?
我试过了,我没有问题:
essays = c("NaCl1","NaCl2","NaCl3","NaCl1","NaCl2","NaCl3","NaCl1","NaCl2","NaCl3","NaCl1","NaCl2","NaCl3")
Ionic_Strength = c(0.01,0.01,0.01,0.02,0.02,0.02,0.03,0.03,0.03,0.04,0.04,0.04)
Water_Absorbancy = c(52.70,52.02,52.98,43.90,46.54,43.60,30.40,31.70,31.80,28.00,27.75,26.80)
longnacl = data.frame(essays, Ionic_Strength,Water_Absorbancy)
require(ez)
anova <- ezANOVA(data = longnacl ,
dv = Water_Absorbancy,
wid= essays,
within = Ionic_Strength,
detailed = T,
type = 3)
#Warning: "Ionic_Strength" will be treated as numeric.
#Warning: There is at least one numeric within variable, therefore aov() will be used for computation and no assumption checks will be obtained.
> anova
#$ANOVA
Effect DFn DFd SSn SSd F p p<.05 ges
#1 Ionic_Strength 1 2 1175.634 0.24577 9566.946 0.0001045102 * 0.999791