Tunga Kantarcı
2017-Feb-27 12:07 UTC
[R] Selecting rows and columns of a data frame using relational operators
Consider a data frame named data. data contains 4 columns and 1000 rows. Say the aim is to bring together columns 1, 2, and 4, if the values in column 4 is equal to 1. We could use the syntax data(data[,4] == 1, c(1 2 4)) for this purpose. Suppose now that the aim is to bring together columns 1, 2, and 4, if the values in column 4 is equal to 1, for the first 20 rows of column 4. We could use the syntax data(data[1:20,4] == 1, c(1 2 4)) for this purpose. However, this does not produce the desired result. This is surprising at least for someone coming from MATLAB because MATLAB produces what is desired. Question 1: The code makes sense but why does it not produce what we expect it to produce? Question 2: What code is instead suitable?
Ulrik Stervbo
2017-Feb-27 12:25 UTC
[R] Selecting rows and columns of a data frame using relational operators
Hi Tunga, The function subset() is probably what you are looking for. You might also want to look at a tutorial to understand the R syntax. In addition, calling your data data is not a good idea because of the name clash with the function data(). Hope this helps, Ulrik On Mon, 27 Feb 2017 at 13:10 Tunga Kantarc? <tungakantarci at gmail.com> wrote:> Consider a data frame named data. data contains 4 columns and 1000 > rows. Say the aim is to bring together columns 1, 2, and 4, if the > values in column 4 is equal to 1. We could use the syntax > > data(data[,4] == 1, c(1 2 4)) > > for this purpose. Suppose now that the aim is to bring together > columns 1, 2, and 4, if the values in column 4 is equal to 1, for the > first 20 rows of column 4. We could use the syntax > > data(data[1:20,4] == 1, c(1 2 4)) > > for this purpose. However, this does not produce the desired result. > This is surprising at least for someone coming from MATLAB because > MATLAB produces what is desired. > > Question 1: The code makes sense but why does it not produce what we > expect it to produce? > > Question 2: What code is instead suitable? > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]
Erich Subscriptions
2017-Feb-27 12:30 UTC
[R] Selecting rows and columns of a data frame using relational operators
The answer is simple data[,4] == 1 produces a logical vector of length nrow(data) and the subsetting mechanism for data frames in R needs a vector of the same length as the data frame has rows. data[1:20,4] == 1 produces a data frame of length 20, and if this is not the length of data. So R applies its standard procedure, it repeats this vector as often as needed to get a vector of length == nrow(data) Th following code illustrates what is happening data <- data.frame(x=rnorm(100),y=rnorm(100),z=rnorm(100),a=rep(c(1,2,1,2),c(2,48,2,48))) vec1 <- data[,4]==1 vec2 <- data[1:20,4]==1> On 27 Feb 2017, at 13:07, Tunga Kantarc? <tungakantarci at gmail.com> wrote: > > Consider a data frame named data. data contains 4 columns and 1000 > rows. Say the aim is to bring together columns 1, 2, and 4, if the > values in column 4 is equal to 1. We could use the syntax > > data(data[,4] == 1, c(1 2 4)) > > for this purpose. Suppose now that the aim is to bring together > columns 1, 2, and 4, if the values in column 4 is equal to 1, for the > first 20 rows of column 4. We could use the syntax > > data(data[1:20,4] == 1, c(1 2 4)) > > for this purpose. However, this does not produce the desired result. > This is surprising at least for someone coming from MATLAB because > MATLAB produces what is desired. > > Question 1: The code makes sense but why does it not produce what we > expect it to produce? > > Question 2: What code is instead suitable? > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
PIKAL Petr
2017-Feb-27 15:14 UTC
[R] Selecting rows and columns of a data frame using relational operators
Hi Above what was said data(data[,4] == 1, c(1 2 4)) Error: unexpected numeric constant in "data(data[,4] == 1, c(1 2" is not valid syntax as it assume that data is a function and c(1 2 4) is also not correct syntax (I wonder if commands in MATLAB are such free form). And I am a little puzzled what means to bring 3 columns together. Calculate sum? Paste respective values in mentioned 3 columns. Anyway, if you want to select only first n rows you should use something like data[1:20,][data[1:20,4]==1,c(1,2,4)] or data[which(data[1:20,4]==1), c(1,2,4)] You should also be careful with "==" if you compare numbers, especially fractions and to select without "with" if your data contain NA values in respective columns. Cheers Petr> -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Erich > Subscriptions > Sent: Monday, February 27, 2017 1:30 PM > To: Tunga Kantarc? <tungakantarci at gmail.com> > Cc: R-help <r-help at r-project.org> > Subject: Re: [R] Selecting rows and columns of a data frame using relational > operators > > The answer is simple > > data[,4] == 1 produces a logical vector of length nrow(data) and the > subsetting mechanism for data frames in R needs a vector of the same length > as the data frame has rows. > > data[1:20,4] == 1 > produces a data frame of length 20, and if this is not the length of data. > So R applies its standard procedure, it repeats this vector as often as needed > to get a vector of length == nrow(data) > > > Th following code illustrates what is happening > > data <- > data.frame(x=rnorm(100),y=rnorm(100),z=rnorm(100),a=rep(c(1,2,1,2),c(2,4 > 8,2,48))) > > vec1 <- data[,4]==1 > vec2 <- data[1:20,4]==1 > > > > On 27 Feb 2017, at 13:07, Tunga Kantarc? <tungakantarci at gmail.com> > wrote: > > > > Consider a data frame named data. data contains 4 columns and 1000 > > rows. Say the aim is to bring together columns 1, 2, and 4, if the > > values in column 4 is equal to 1. We could use the syntax > > > > data(data[,4] == 1, c(1 2 4)) > > > > for this purpose. Suppose now that the aim is to bring together > > columns 1, 2, and 4, if the values in column 4 is equal to 1, for the > > first 20 rows of column 4. We could use the syntax > > > > data(data[1:20,4] == 1, c(1 2 4)) > > > > for this purpose. However, this does not produce the desired result. > > This is surprising at least for someone coming from MATLAB because > > MATLAB produces what is desired. > > > > Question 1: The code makes sense but why does it not produce what we > > expect it to produce? > > > > Question 2: What code is instead suitable? > > > > ______________________________________________ > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting- > guide.html > and provide commented, minimal, self-contained, reproducible code.________________________________ Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou ur?eny pouze jeho adres?t?m. 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