dcast特定列并保留所有

Ved*_*dda 8 r reshape2

我试图采取具有特定值针对每个类型的每个类型的元素的列gridNumber并且dcast它使得它创建从元件列3名独立的列.我不确定该怎么做.

dput:

df <- structure(list(date = structure(c(-25584, -25584, -25584, -25583, 
-25583, -25583, -25582, -25582, -25582, -25581), class = "Date"), 
    year = c(1899, 1899, 1899, 1899, 1899, 1899, 1899, 1899, 
    1899, 1899), month = c(12, 12, 12, 12, 12, 12, 12, 12, 12, 
    12), day = c(15, 15, 15, 16, 16, 16, 17, 17, 17, 18), gridNumber = c(526228, 
    526228, 526228, 526228, 526228, 526228, 526229, 526229, 526229, 
    526229), element = c("PPT", "TMAX", "TMIN", "PPT", "TMAX", 
    "TMIN", "PPT", "TMAX", "TMIN", "PPT"), value = c(0, 43.4782, 
    21.7403, 0, 43.3297, 20.751, 0, 57.3625, 25.8157, 0.2105)), .Names = c("date", 
"year", "month", "day", "gridNumber", "element", "value"), row.names = c(NA, 
10L), class = "data.frame")
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data.frame:

         date year month day gridNumber element   value
1  1899-12-15 1899    12  15     526228     PPT  0.0000
2  1899-12-15 1899    12  15     526228    TMAX 43.4782
3  1899-12-15 1899    12  15     526228    TMIN 21.7403
4  1899-12-16 1899    12  16     526228     PPT  0.0000
5  1899-12-16 1899    12  16     526228    TMAX 43.3297
6  1899-12-16 1899    12  16     526228    TMIN 20.7510
7  1899-12-17 1899    12  17     526229     PPT  0.0000
8  1899-12-17 1899    12  17     526229    TMAX 57.3625
9  1899-12-17 1899    12  17     526229    TMIN 25.8157
10 1899-12-18 1899    12  18     526229     PPT  0.2105
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dcast尝试:

newdat <- dcast(df, date ~ element)
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期望的输出列:

date year month day gridNumber PPT TMAX TMIN value
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akr*_*run 13

我们可以用dcast.该...上的LHS ~包括未在RHS,并在指定的所有变量value.var.

library(reshape2)
dcast(df, ...~element, value.var='value')
#        date year month day gridNumber    PPT    TMAX    TMIN
#1 1899-12-15 1899    12  15     526228 0.0000 43.4782 21.7403
#2 1899-12-16 1899    12  16     526228 0.0000 43.3297 20.7510
#3 1899-12-17 1899    12  17     526229 0.0000 57.3625 25.8157
#4 1899-12-18 1899    12  18     526229 0.2105      NA      NA
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Pie*_*nte 3

这可能不完全是您想要的,因为您有一个单独的值列。那么,PPT、TMAX 和 TMIN 下放什么?

dplyr以下是如何使用和将值放在适当的列下tidyr

library(dplyr)
library(tidyr)
df1 %>%
spread(element,value)
        date year month day gridNumber    PPT    TMAX    TMIN
1 1899-12-15 1899    12  15     526228 0.0000 43.4782 21.7403
2 1899-12-16 1899    12  16     526228 0.0000 43.3297 20.7510
3 1899-12-17 1899    12  17     526229 0.0000 57.3625 25.8157
4 1899-12-18 1899    12  18     526229 0.2105      NA      NA
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可以仅使用以下方式写成一行tidyr

spread(df1,element,value)
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