我试图使用reshape将我的数据从宽格式调整为长格式,但我一直收到错误。下面我写了我已经尝试过的代码和我得到的错误信息。
当前数据结构
patientid Adh_catv1 Adh_catv2 Adh_catv3 Adh_threeitemsv1 Adh_threeitemsv2 Adh_threeitemsv3
70FD optimal optimal optimal 86 90 100
70LJ suboptimal suboptimal optimal 40 50 70
70ML optimal suboptimal suboptimal 89 55 50 所需结构
patientid Visits Adherence Adherence_threeitem
70FD visit1 optimal 86
70FD visit2 optimal 90
70FD visit3 optimal 100
70LJ visit1 suboptimal 40
70LJ visit2 suboptimal 50
70LJ visit3 optimal 70
70ML visit1 optimal 89
70ML visit2 suboptimal 55
70ML visit3 suboptimal 50这就是我到目前为止所尝试的
reshape(df, direction = 'long',
varying = c ('adh_catv1:Adh_threeitemsv3'),
timevar = 'Visits',
times = c ("visit1","visit2","visit3"),
v.names = c ('adherence','adherence_threeitem),
idvar = 'patientid')
Error in reshape(df, direction = "long", varying = c("adh_catv1:Adh_threeitemsv3"), :
length of 'varying' must be the product of length of 'v.names' and length of 'times'请告知我在上面的代码中做错了什么,或者建议一个使用其他函数的更简单的替代选项。
发布于 2021-04-21 23:24:24
这里最基本的代码是:
reshape(df,-1, dir="long", sep="")
patientid time Adh_catv Adh_threeitemsv id
1.1 70FD 1 optimal 86 1
2.1 70LJ 1 suboptimal 40 2
3.1 70ML 1 optimal 89 3
1.2 70FD 2 optimal 90 1
2.2 70LJ 2 suboptimal 50 2
3.2 70ML 2 suboptimal 55 3
1.3 70FD 3 optimal 100 1
2.3 70LJ 3 optimal 70 2
3.3 70ML 3 suboptimal 50 3您可以添加其他变量,以获得您想要的内容:
https://stackoverflow.com/questions/67198585
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