英文:
Spread Error in the two-way repeated measure anova test
问题
我正在使用rstatix包进行双向重复测量的方差分析。以下是代码部分：
library(rstatix)res.aov <- anova_test(data=kolding, dv=count, wid=id, within=treatment)get_anova_table(res.aov)
这是数据的样子：
id treatment species count1 K1 biohut Goldsinny Wrasse 02 K2 biohut Goldsinny Wrasse 23 K3 biohut Goldsinny Wrasse 14 K4 biohut Goldsinny Wrasse 15 K5 biohut Goldsinny Wrasse 16 K6 biohut Goldsinny Wrasse 07 K1 biohut Atlantic Cod 08 K2 biohut Atlantic Cod 09 K3 biohut Atlantic Cod 110 K4 biohut Atlantic Cod 111 K5 biohut Atlantic Cod 0...
我一直在遇到一个“spread”错误，要求输出的每一行必须由唯一的键组合标识，但我不知道该如何处理它。
我尝试使用pivot_wider()，但它没有效果。
英文:
I am working on a two-way repeated measure anova using the rstatix package.
library(rstatix)res.aov <- anova_test(data=kolding, dv=count, wid=id, within=treatment)get_anova_table(res.aov)
And here's how the data looks like:
id treatment species count1 K1 biohut Goldsinny Wrasse 02 K2 biohut Goldsinny Wrasse 23 K3 biohut Goldsinny Wrasse 14 K4 biohut Goldsinny Wrasse 15 K5 biohut Goldsinny Wrasse 16 K6 biohut Goldsinny Wrasse 07 K1 biohut Atlantic Cod 08 K2 biohut Atlantic Cod 09 K3 biohut Atlantic Cod 110 K4 biohut Atlantic Cod 111 K5 biohut Atlantic Cod 0...
I keep getting a spread error that each row of output must be identified by a unique combination of keys, and I don't know how to go about it.
I tried pivot_wider(), but it wouldn't budge.
答案1
得分: 0
问题在于您的id变量用于不同的个体，即金线鳕鱼和大西洋鳕鱼都有K1、K2等等。您可以通过使用paste()函数将id和species合并来创建唯一的标识符。
library(rstatix)kolding$unique_id <- paste(kolding$id, kolding$species)res.aov <- anova_test(data=kolding, dv=count, wid=unique_id, within=treatment)get_anova_table(res.aov)
ANOVA表（III 类型检验）效应 DFn DFd F p p<.05 ges1 treatment 1 10 0.45 0.518 0.034
示例数据：
原始示例数据出现错误，因为它只包含了一个水平的treatment，所以我添加了另一个水平：
set.seed(13)kolding <- rbind(kolding,transform(kolding,treatment = "control",count = sample(0:2, 11, replace = TRUE)))
英文:
The problem is that your id variable is reused for different individuals — ie, you have K1, K2, etc, for both goldsinny wrasse and Atlantic cod. You can make a unique identifier by paste()ing id and species.
library(rstatix)kolding$unique_id <- paste(kolding$id, kolding$species)res.aov <- anova_test(data=kolding, dv=count, wid=unique_id, within=treatment)get_anova_table(res.aov)
ANOVA Table (type III tests)Effect DFn DFd F p p<.05 ges1 treatment 1 10 0.45 0.518 0.034
Example data:
OP’s sample data initially threw an error because it only includes one level of treatment, so I added another level:
set.seed(13)kolding <- rbind(kolding,transform(kolding,treatment = "control",count = sample(0:2, 11, replace = TRUE)))
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