Everything looks OK. Does this help?
> test <-
>data.frame(alpha=as.factor(c("A","A","B","B","C")),number=c(1,2,3,4,5))
> mode(test)
[1] "list"
> class(test)
[1] "data.frame"
> sapply(test, mode)
alpha number
"numeric" "numeric"
> sapply(test, class)
alpha number
"factor" "numeric"
On 5/25/11 10:42 AM, "James Rome" <jamesr...@gmail.com> wrote:
>I have a data set where the lines look like:
>2011-05-13 00:00:00 EONAAL330 dfa13002516PSCNONA
>2011-05-13 00:00:01 EONAAL223 laa13044510AS.NONM
>Some lines are missing the field before and after the NON:
>2011-05-13 00:00:05 EONBHS229 mia13001621NON
>
>I read them into R using
> df = read.fwf(file, widths=c(19,-4,7,3,8,2,1,3,1),
>
>col.names=c("DateTime","Flight","Dest","ArrTime","MsgType","Conf","Runway"
>,"Source"),
>
>colClasses=c("POSIXct",NA,"factor","factor","character","factor","factor",
>"factor"))
>
>The documentation for read.fwf says that the data are read into a
>dataframe. Yet, I get a list, and the conversions I specified do not
>seem to have been obeyed:
>> df[1:20,]
> DateTime Flight Dest ArrTime MsgType Conf
>Runway Source
>1 2011-05-13 00:00:00 AAL330 dfa 13002516 PS C NON A
>2 2011-05-13 00:00:01 AAL223 laa 13044510 AS . NON M
>. . .
>> sapply(df, mode)
> DateTime Flight Dest ArrTime MsgType Conf
> "numeric" "numeric" "numeric" "numeric" "character" "numeric"
> Runway Source
> "numeric" "numeric"
>> dfn = df[!is.na(df$Source),]
>> mode(df)
>[1] "list"
>
>What am I doing wrong?
>
>Thanks,
>Jim Rome
>
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and provide commented, minimal, self-contained, reproducible code.
