在 lapply-"do not know how to convert x to class POSIXlt" 中生成并填充新的数据帧
generating and filling new data frames in lapply-"do not know how to convert x to class POSIXlt"
我正在尝试根据数据框中的一行生成一个包含动物每周遭遇历史的新数据框,该数据框包含我们跟踪它的第一天和最后一天(FDay、Lday)的动物 ID (BandNo),以及当我们停止追踪动物时动物的命运(命运)以及其他协变量。
这里是一个个体的示例数据框,对象 "a"
structure(list(BandNo = structure(1L, .Label = c("1234", "4201",
"4203", "4205", "4207", "4208", "4209", "4213", "4214", "4215",
"4216", "4217", "4219", "4221", "4223", "4224", "4226", "4227",
"4228", "4229", "4230", "4231", "4232", "4233", "4234", "4236",
"4237", "4238", "4239", "4241", "4242", "4245", "4247", "4248",
"4249", "4253", "4254", "4256", "4257", "4258", "4259", "4261",
"4262", "4263", "4264", "4271", "4272", "4273", "4276", "4277",
"4280", "4282", "4284", "4288", "4289", "4292", "4293", "4296",
"4298", "4299", "4501", "4502", "4503", "4504", "4505", "4507",
"4508", "4509", "4510", "4511", "4512", "4513", "4514", "4515",
"4516", "4517", "4518", "4519", "4520", "4521", "4525", "4526",
"4527", "4529", "4530", "4532", "4535", "4539", "4596", "4598",
"4599", "6101", "6102", "6104", "6105", "6106", "6107", "6108",
"6109", "6111", "6112", "6113", "6114", "6115", "6116", "6118",
"6119", "8002", "8003", "8004", "8005", "8006", "8007", "8008",
"8009", "8010", "8011", "8012", "8013", "8014", "8015", "8017",
"8018", "8019", "8020", "8021", "8097", "8098", "8099", "8402",
"8403", "8404", "8405", "8406", "8408", "8409", "8410", "8411",
"8412", "8413", "8414", "8416", "8417", "8418", "8419", "8422",
"8423", "8426", "8427", "8429", "8430", "8431", "8432", "8433",
"8458", "8497", "8498"), class = "factor"), FDay = structure(1380171600, class = c("POSIXct",
"POSIXt"), tzone = "America/Bogota"), Lday = structure(1392094800, class = c("POSIXct",
"POSIXt"), tzone = "America/Bogota"), ObsLength = 138, Fate = "Predation",
FieldName = structure(7L, .Label = c("Bryan", "Dassow", "H1",
"H2", "NARD", "SAY160", "SAY320", "SAY40A", "Schaeffer",
"SIB", "Wessels"), class = "factor"), Landscape = structure(2L, .Label = c("CHW",
"SAY", "SIB"), class = "factor"), Sex = structure(1L, .Label = c("F",
"M"), class = "factor")), .Names = c("BandNo", "FDay", "Lday",
"ObsLength", "Fate", "FieldName", "Landscape", "Sex"), row.names = 1L, class = "data.frame")
我可以使用此代码成功创建我想要的新数据框 (y) :
library(lubridate)
mydate<-seq(from=a$FDay,to=a$Lday,by='week')
newband<-rep(a$BandNo,length(mydate))
newfate<-rep("Survive",length(mydate))
newfate[length(mydate)]<-a$Fate
y<-data.frame(newband,mydate,newfate)
y$FieldName<-a$FieldName
y$Sex<-a$Sex
y$Landscape<-a$Landscape
y$WeekID<-week(a$mydate)
y$Year<-year(a$mydate))
但是当我尝试使用以下代码将它应用于单行数据框列表时,我收到错误消息 "do not know how to convert x to class POSIXlt"
之前的步骤,现在用在lapply,报错
b<-list(a)
d<-lapply(b,function(x){
mydate<-seq(from=x$FDay,to=x$Lday,by='week')
newband<-rep(x$BandNo,length(mydate))
newfate<-rep("Survive",length(mydate))
newfate[length(mydate)]<-x$Fate
y<-data.frame(newband,mydate,newfate)
y$FieldName<-x$FieldName
y$Sex<-x$Sex
y$Landscape<-x$Landscape
y$WeekID<-week(x$mydate)
y$Year<-year(x$mydate)})
感谢您的帮助!
我犯了一个非常愚蠢的错误...我应该在最后引用 y$ mydate。 lapply 函数应该是这样的:
d<-lapply(adult2,function(x){
mydate<-seq(from=x$FDay,to=x$Lday,by='week')
newband<-rep(x$BandNo,length(mydate))
newfate<-rep("Survive",length(mydate))
newfate[length(mydate)]<-x$Fate
y<-data.frame(newband,mydate,newfate)
y$FieldName<-x$FieldName
y$Sex<-x$Sex
y$Landscape<-x$Landscape
y$WeekID<-week(y$mydate)
y$Year<-year(y$mydate)
return(y)}
)
我正在尝试根据数据框中的一行生成一个包含动物每周遭遇历史的新数据框,该数据框包含我们跟踪它的第一天和最后一天(FDay、Lday)的动物 ID (BandNo),以及当我们停止追踪动物时动物的命运(命运)以及其他协变量。
这里是一个个体的示例数据框,对象 "a"
structure(list(BandNo = structure(1L, .Label = c("1234", "4201",
"4203", "4205", "4207", "4208", "4209", "4213", "4214", "4215",
"4216", "4217", "4219", "4221", "4223", "4224", "4226", "4227",
"4228", "4229", "4230", "4231", "4232", "4233", "4234", "4236",
"4237", "4238", "4239", "4241", "4242", "4245", "4247", "4248",
"4249", "4253", "4254", "4256", "4257", "4258", "4259", "4261",
"4262", "4263", "4264", "4271", "4272", "4273", "4276", "4277",
"4280", "4282", "4284", "4288", "4289", "4292", "4293", "4296",
"4298", "4299", "4501", "4502", "4503", "4504", "4505", "4507",
"4508", "4509", "4510", "4511", "4512", "4513", "4514", "4515",
"4516", "4517", "4518", "4519", "4520", "4521", "4525", "4526",
"4527", "4529", "4530", "4532", "4535", "4539", "4596", "4598",
"4599", "6101", "6102", "6104", "6105", "6106", "6107", "6108",
"6109", "6111", "6112", "6113", "6114", "6115", "6116", "6118",
"6119", "8002", "8003", "8004", "8005", "8006", "8007", "8008",
"8009", "8010", "8011", "8012", "8013", "8014", "8015", "8017",
"8018", "8019", "8020", "8021", "8097", "8098", "8099", "8402",
"8403", "8404", "8405", "8406", "8408", "8409", "8410", "8411",
"8412", "8413", "8414", "8416", "8417", "8418", "8419", "8422",
"8423", "8426", "8427", "8429", "8430", "8431", "8432", "8433",
"8458", "8497", "8498"), class = "factor"), FDay = structure(1380171600, class = c("POSIXct",
"POSIXt"), tzone = "America/Bogota"), Lday = structure(1392094800, class = c("POSIXct",
"POSIXt"), tzone = "America/Bogota"), ObsLength = 138, Fate = "Predation",
FieldName = structure(7L, .Label = c("Bryan", "Dassow", "H1",
"H2", "NARD", "SAY160", "SAY320", "SAY40A", "Schaeffer",
"SIB", "Wessels"), class = "factor"), Landscape = structure(2L, .Label = c("CHW",
"SAY", "SIB"), class = "factor"), Sex = structure(1L, .Label = c("F",
"M"), class = "factor")), .Names = c("BandNo", "FDay", "Lday",
"ObsLength", "Fate", "FieldName", "Landscape", "Sex"), row.names = 1L, class = "data.frame")
我可以使用此代码成功创建我想要的新数据框 (y) :
library(lubridate)
mydate<-seq(from=a$FDay,to=a$Lday,by='week')
newband<-rep(a$BandNo,length(mydate))
newfate<-rep("Survive",length(mydate))
newfate[length(mydate)]<-a$Fate
y<-data.frame(newband,mydate,newfate)
y$FieldName<-a$FieldName
y$Sex<-a$Sex
y$Landscape<-a$Landscape
y$WeekID<-week(a$mydate)
y$Year<-year(a$mydate))
但是当我尝试使用以下代码将它应用于单行数据框列表时,我收到错误消息 "do not know how to convert x to class POSIXlt"
之前的步骤,现在用在lapply,报错
b<-list(a)
d<-lapply(b,function(x){
mydate<-seq(from=x$FDay,to=x$Lday,by='week')
newband<-rep(x$BandNo,length(mydate))
newfate<-rep("Survive",length(mydate))
newfate[length(mydate)]<-x$Fate
y<-data.frame(newband,mydate,newfate)
y$FieldName<-x$FieldName
y$Sex<-x$Sex
y$Landscape<-x$Landscape
y$WeekID<-week(x$mydate)
y$Year<-year(x$mydate)})
感谢您的帮助!
我犯了一个非常愚蠢的错误...我应该在最后引用 y$ mydate。 lapply 函数应该是这样的:
d<-lapply(adult2,function(x){
mydate<-seq(from=x$FDay,to=x$Lday,by='week')
newband<-rep(x$BandNo,length(mydate))
newfate<-rep("Survive",length(mydate))
newfate[length(mydate)]<-x$Fate
y<-data.frame(newband,mydate,newfate)
y$FieldName<-x$FieldName
y$Sex<-x$Sex
y$Landscape<-x$Landscape
y$WeekID<-week(y$mydate)
y$Year<-year(y$mydate)
return(y)}
)