我的dcast Rcode不再运行。我在这里讨论了这个问题:segfault in R using reshape2 package and dcast
该错误尚未修复，因此我正在寻找实现dcast输出的其他方法。任何建议将不胜感激!
在我的数据集的非常小的Dput下。基本上，每个调查ID(“EID”)每个物种只有一个条目。我想为每个调查ID(“EID”)获得一个条目，将我所有的物种都列为具有其相关值(“值”)(即宽格式)的列。
> dput(sample)
structure(list(EID = c("L00155/69/2000-09-06", "Q99107/178/1999-08-23",
"G02192/1/2002-07-08", "G97158/1/1997-10-26", "Q06091/2/2006-07-04",
"L00004/171/2000-03-01", "G11094/15/2011-09-05", "Q04127/16/2004-07-28",
"Q02122/230/2002-10-29", "G08002/6/2008-02-03", "Q99006/143/1999-02-17",
"Q08053/3/2008-06-12", "Q99128/22/1999-08-19", "L00177/83/2000-12-18",
"Q05122/11/2005-08-30", "Q04156/44/2004-10-29", "L01097/69/2001-06-26",
"G08004/169/2008-05-14", "Q03041/26/2003-06-14", "G98115/60/1998-09-11",
"G00002/20/2000-01-17", "G00002/20/2000-01-17", "G00054/1/2000-05-31",
"G00054/1/2000-05-31"), tspp.name = structure(c(13L, 13L, 13L,
13L, 16L, 13L, 13L, 4L, 13L, 13L, 13L, 13L, 13L, 11L, 4L, 13L,
13L, 13L, 13L, 20L, 13L, 13L, 24L, 24L), .Label = c("American plaice",
"American sand lance", "Arctic cod", "Atlantic cod", "Atlantic halibut",
"Atlantic herring", "Bigeye tuna", "Black dogfish", "Bluefin tuna",
"Capelin", "Greenland halibut", "Lookdown", "Northern shrimp",
"Ocean quahog", "Porbeagle", "Redfishes", "Slenteye headlightfish",
"Smooth flounder", "Spiny dogfish", "Striped pink shrimp", "Summer flounder",
"White hake", "Winter flounder", "Witch flounder", "Yellowtail flounder"
), class = "factor"), elasmo.name = structure(c(26L, 30L, 30L,
30L, 30L, 25L, 21L, 30L, 30L, 30L, 30L, 21L, 30L, 5L, 30L, 30L,
30L, 21L, 30L, 30L, 14L, 21L, 24L, 21L), .Label = c("Arctic skate",
"Atlantic sharpnose shark", "Barndoor skate", "Basking shark",
"Black dogfish", "Blue shark", "Deepsea cat shark", "Greenland shark",
"Jensen's skate", "Little skate", "Manta", "Ocean quahog", "Oceanic whitetip shark",
"Porbeagle", "Portuguese shark", "Rough sagre", "Roughtail stingray",
"Round skate", "Sharks", "Shortfin mako", "Skates", "Smooth skate",
"Soft skate", "Spiny dogfish", "Spinytail skate", "Thorny skate",
"White shark", "White skate", "Winter skate", "NA"), class = "factor"),
elasmo.discard = c(1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0,
25, 0, 0, 0, 1, 0, 0, 1, 1, 15, 25)), .Names = c("EID", "tspp.name",
"elasmo.name", "elasmo.discard"), class = "data.frame", row.names = c("18496",
"488791", "87549", "236671", "139268", "15606", "11132", "115531",
"93441", "159675", "403751", "42587", "485941", "19285", "130395",
"119974", "73826", "7953", "99124", "351461", "71", "72", "184",
"185"))
最后，我希望获得以下信息:
library(plyr)
test<-dcast(sample, ...~elasmo.name,value.var ="elasmo.discard",fun.aggregate=sum)
test
请注意，“dcast”代码在这里有效，但是当我在具有145349行的整体数据集上运行它时，确实出现了致命错误。
非常感谢!!
最佳答案
这将是哈德利之前的方法；首先汇总以获得总和，然后重塑。
foo <- aggregate(d[,4,drop=FALSE], by=d[,1:3], sum)
reshape(foo, v.names="elasmo.discard", idvar=c("EID", "tspp.name"),
timevar="elasmo.name", direction="wide")
如果第一部分很慢，则“by”部分中的列较少可能会有所帮助；看起来
tspp.name是由EID定义的，如果是的话，请不要对其进行汇总，而应在事实之后添加它。如果第二部分很慢，请尝试以下方法之一:
https://stackoverflow.com/a/9617424/210673。
为了获得更好的加速帮助，请提供一个可以测试代码的适当示例(也许使用示例或代表)。解算速度通常取决于每个变量有多少个唯一组合。
关于r - 在不使用dcast的情况下在R中重塑数据(reshape2)，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/18257474/