我试图将一些长数据转换为wide,但不知道如何将某些变量附加到唯一的id中。下面做了我需要它做的事情,除了它删除了lat和long变量,这些变量附加到每个gridNumber上。我想在去广岛的时候留着。
dput:
df <- structure(list(gridNumber = c("17578", "18982", "18983", "18984",
"18985", "18986", "18987", "18988", "18989", "18990"), value = c(22.7000007629395,
22.2900009155273, 22.25, 21.9799995422363, 21.1000003814697,
20.7700004577637, 20.6200008392334, 20.5699996948242, 20.5699996948242,
20.5799999237061), lat = c(-95.1249999994964, -95.1666666661633,
-95.1249999994964, -95.0833333328295, -95.0416666661626, -94.9999999994957,
-94.9583333328288, -94.9166666661619, -94.874999999495, -94.8333333328281
), long = c(49.4166666666667, 49.375, 49.375, 49.375, 49.375,
49.375, 49.375, 49.375, 49.375, 49.375), ID = c("PRISM_ppt_stable_4kmM2_190001_bil",
"PRISM_ppt_stable_4kmM2_190001_bil", "PRISM_ppt_stable_4kmM2_190001_bil",
"PRISM_ppt_stable_4kmM2_190001_bil", "PRISM_ppt_stable_4kmM2_190001_bil",
"PRISM_ppt_stable_4kmM2_190001_bil", "PRISM_ppt_stable_4kmM2_190001_bil",
"PRISM_ppt_stable_4kmM2_190001_bil", "PRISM_ppt_stable_4kmM2_190001_bil",
"PRISM_ppt_stable_4kmM2_190001_bil")), .Names = c("gridNumber",
"value", "lat", "long", "ID"), class = c("data.table", "data.frame"
), row.names = c(NA, -10L))代码:
library(data.table)
wide <- dcast.data.table(df, gridNumber~ID, value = 'value')发布于 2015-10-13 03:21:00
为了解释@Frank注释(以及正确的答案),转换公式采用了LHS ~ RHS形式。LHS是您希望成为行键的一组列,与RHS中的列类似。因此,如果您希望保留gridNumber、lat和long作为每个行的唯一键,那么将LHS设置为gridNumber + lat + long,如下所示:
wide <- dcast.data.table(df, gridNumber + lat + long ~ ID, value = 'value')dcast可以代替dcast.data.table,正如@Arun所指出的(对于任何版本的>= 1.9.6,目前在CRAN上)。
https://stackoverflow.com/questions/33093286
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