Dear Petr,
thanks for your posts, they perfectly answered my questions.
Cheers,
Marius
On 2011-06-28, at 09:49 , Petr PIKAL wrote:
>>
>> Dear expeRts,
>>
>> I have two questions concerning data frames:
>> (1) How can I apply the class function to each component in a
> data.frame?
>> As you can see below, applying class to each column is not the right
>> approach; applying it to each component seems bulky.
>> (2) After transforming the data frame a bit, the classes of certain
>> components change to factor. How can I remove the factor structure?
>>
>> Cheers,
>>
>> Marius
>>
>> x <- c(2004:2010, 2002:2011, 2000:2011)
>> df <- data.frame(x=x, group=c(rep("low",7), rep("middle",10),
> rep("high",12)),
>> y=x+100*runif(length(x)))
>>
>> ## Question (1): why do the following lines do not give the same
> "class"?
>> apply(df, 2, class)
>> class(df$x)
>> class(df$group)
>> class(df$y)
>>
>> df. <- as.data.frame(xtabs(y ~ x + group, data=df))
>>
>> class(df.$x)
>> class(df.$group)
>> class(df.$Freq)
>>
>> ## Question (2): how can I remove the factor structure from x?
>> df.$x <- as.numeric(as.character(df.$x)) # seems bulky; note that
>
> If you do it often you can
>
> unfactor <- function(x) as.numeric(as.character(x))
> df.$x <- unfactor(df.$x)
>
> or you can use
> df. <- as.data.frame(xtabs(y ~ x + group, data=df),
> stringsAsFactors=FALSE)
> df.$x <- as.numeric(df.$x)
>
> But it seems to me that it is not much less bulkier.
>
> Regards
> Petr
>
>
>> as.numeric(df.$x) is not correct
>> class(df.$x)
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>
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