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如何在R中轻松安全地重塑数据？_R_Reshape - Fatal编程技术网
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如何在R中轻松安全地重塑数据？

r

如何在R中轻松安全地重塑数据？,r,reshape,R,Reshape,通常我的数据是“宽格式”的，同一个变量有几列（请参阅），我希望数据是长格式的（请参阅）。你有什么简单安全的解决方案吗 由于您的两个示例没有相同的数字，不知道这是否是您想要的： data <- read.table(text='"id","name1","name2","x1","x2" 1,"Mr a","Mr c","0.575710014459387","-0.991747242336918" 2,"Mr b","Mr d","-0.126033858727122","0.854792

通常我的数据是“宽格式”的，同一个变量有几列（请参阅），我希望数据是长格式的（请参阅）。你有什么简单安全的解决方案吗

由于您的两个示例没有相同的数字，不知道这是否是您想要的：

data <- read.table(text='"id","name1","name2","x1","x2"
1,"Mr a","Mr c","0.575710014459387","-0.991747242336918"
2,"Mr b","Mr d","-0.126033858727122","0.854792650572792"', sep=',', header=TRUE)

reshape(data, direction = 'long', idvar = 'id', varying = list(c('x1', 'x2'), c('name1', 'name2')), times=c('a', 'b'))

数据或使用melt功能取消PIVOT：


library(reshape2)
data <- read.table(text='"id","name1","name2","x1","x2","Mr a","Mr c","0.575710014459387","-0.991747242336918","Mr b","Mr d","-0.126033858727122","0.854792650572792"', sep=',', header=TRUE)
reshape(data, direction = 'long', idvar = 'id', varying = list(c('x1', 'x2'), c('name1', 'name2')), times=c('a', 'b'))
melt(data,c("id","name1","name2"),variable.name="x",value.name="value")



library（重塑2）
数据“安全”是什么意思？