[R] Cleaning data

[Eric Berger]

Hi Bayan,
In your code, 'a' is a vector and is.integer(a) is a logical of length 1 -
most likely FALSE if even one element of a is not an integer. (Since R will
coerce all the elements of a to the same type.)
You need to decide whether something "close enough" to an integer is to be
considered an integer - e.g. a distance of 0.000001 = 1e-6.

 a <- df$age
df <- df[ c( TRUE, abs( a - round(a,0) )%%1 ) > 1e-6 ), ]

I added the 'TRUE' at the beginning to always keep the first row of df. If
you prefer to always keep the last row then move the TRUE to the end.

HTH,

Eric




On Tue, Sep 26, 2017 at 12:50 PM, bayan sardini <sardinibayan at gmail.com>
wrote:

> Hi
>
> I want to clean my data frame, based on the age column, whereas i want to
> delete the rows that the difference between its elements (i+1)-i= integer.
> i used
>
> a <- diff(df$age)
> for(i in a){if(is.integer(a) == true){df <- df[-a,]
> }}
>
> but, it doesn’t work, any ideas
>
> Thanks in advance
> Bayan
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