Message-ID: <23846a80-79d5-6a00-6140-ed8342be0320@sapo.pt>
Date: 2019-10-03T19:17:20Z
From: Rui Barradas
Subject: can not extract rows which match a string
In-Reply-To: <CAF9-5jOMGatK30hAS8KDEST-Yk2cGbR0WBfVc3-bedvaNCGnwg@mail.gmail.com>
Hello,
You have to use is.na to get the NA values.
t1 <- data.frame(sex_chromosome_aneuploidy_f22019_0_0 = c(NA, "Yes"),
other = 1:2)
i <- t1$sex_chromosome_aneuploidy_f22019_0_0 == "Yes" &
!is.na(t1$sex_chromosome_aneuploidy_f22019_0_0)
i
t1[i, ]
Hope this helps,
Rui Barradas
?s 19:58 de 03/10/19, Ana Marija escreveu:
> Hello,
>
> I have a dataframe (t1) with many columns, but the one I care about it this:
>> unique(t1$sex_chromosome_aneuploidy_f22019_0_0)
> [1] NA "Yes"
>
> it has these two values.
>
> I would like to remove from my dataframe t1 all rows which have "Yes"
> in t1$sex_chromosome_aneuploidy_f22019_0_0
>
> I tried selecting those rows with "Yes" via:
>
> t11=t1[t1$sex_chromosome_aneuploidy_f22019_0_0=="Yes",]
>
> but I got t11 which has the exact same number of rows as t1.
>
> If I do:
>> table(t1$sex_chromosome_aneuploidy_f22019_0_0)
>
> Yes
> 620
>
> So there is for sure 620 rows which have "Yes". How to remove those
> from my t1 data frame?
>
> Thanks
> Ana
>
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