[英]Applying function with two inputs to groups of data in dataframe
I have created a function (pearson) that calls on two vectors (vlow and vhigh) and would like to apply that function to groups of data (dist) in my dataframe (ldf). 我创建了一个函数(Pearson),该函数调用两个向量(vlow和vhigh),并希望将该函数应用于我的数据帧(ldf)中的数据组(dist)。 I have tried to use the following code:
我尝试使用以下代码:
ldf %>% group_by(dist) %>% summarize(pearson(vlow,vhigh))
This is the output: 这是输出:
pearson(vlow, vhigh)
1 0.5686079
With 5 groups I should be getting 5 results, but for whatever reason its not identifying the groups correctly. 对于5个组,我应该得到5个结果,但是由于某种原因,它不能正确识别组。 Here is what the structure of the dataframe looks like.
数据框的结构如下所示。 Any suggestions as to how I could fix this?
关于如何解决此问题的任何建议?
'data.frame': 157 obs. of 5 variables:
$ dlow : num 24 33 45 123 30 33 126 84 87 81 ...
$ dhigh: num 27 36 48 126 33 36 129 87 90 84 ...
$ vlow : num 251 249 251 254 251 ...
$ vhigh: num 248 250 251 254 250 ...
$ dist : chr "3" "3" "3" "3" ...
Best, Thomas 最好,托马斯
Found the answer to my own question. 找到了我自己问题的答案。 If anybody is curious this is the code to make it work:
如果有人好奇,可以使用以下代码进行工作:
# Split data by lag
sp <- split(ldf, ldf$dist)
# Calculate Pearson Correlation (p)
p <- lapply(names(sp), function(x) pearson(sp[[x]][["vlow"]],sp[[x]][["vhigh"]]))
p <- unlist(p)
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