[R] Replace missing values in lapply
I have some matrices stored as elements in a list that I am working with. On example is provided below as TP[[18]] TP[[18]] level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 Now, using prop.table on this gives prop.table(TP[[18]],1) level2 level1 1 2 3 4 1 1 0 0 0 2 3 4 It is important for the zero's to retain their position as this matrix will subsequently be used in some matrix multiplication and hence, must be of dimension 4 by 4 so that is it conformable for multiplcation with another matrix. In looking at the structure of the object resulting from prop.table I see NaNs, and so I can do this rr - TP[[18]] rr[is.na(rr)] - 0 rr level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 This is exactly what I want for each matrix. But, I have multiple matrices stored within the list that need to be changed and so I am trying to resolve this via lapply, but something is awry (namely the user), but I could use a little help. I was thinking the following function should work, but it doesn't. It reduces each matrix within the list to a 0. PP - lapply(TP, function(x) x[is.na(x)] - 0) Am I missing something obvious? Harold [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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.
Re: [R] Replace missing values in lapply
you need to return x in the function within lapply(), e.g., something like lapply(TP, function(x) { x[is.na(x)] - 0; x }) I hope it works. Best, Dimitris Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(0)16/336899 Fax: +32/(0)16/337015 Web: http://med.kuleuven.be/biostat/ http://www.student.kuleuven.be/~m0390867/dimitris.htm - Original Message - From: Doran, Harold [EMAIL PROTECTED] To: r-help@stat.math.ethz.ch Sent: Wednesday, January 24, 2007 4:40 PM Subject: [R] Replace missing values in lapply I have some matrices stored as elements in a list that I am working with. On example is provided below as TP[[18]] TP[[18]] level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 Now, using prop.table on this gives prop.table(TP[[18]],1) level2 level1 1 2 3 4 1 1 0 0 0 2 3 4 It is important for the zero's to retain their position as this matrix will subsequently be used in some matrix multiplication and hence, must be of dimension 4 by 4 so that is it conformable for multiplcation with another matrix. In looking at the structure of the object resulting from prop.table I see NaNs, and so I can do this rr - TP[[18]] rr[is.na(rr)] - 0 rr level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 This is exactly what I want for each matrix. But, I have multiple matrices stored within the list that need to be changed and so I am trying to resolve this via lapply, but something is awry (namely the user), but I could use a little help. I was thinking the following function should work, but it doesn't. It reduces each matrix within the list to a 0. PP - lapply(TP, function(x) x[is.na(x)] - 0) Am I missing something obvious? Harold [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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. Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm __ R-help@stat.math.ethz.ch mailing list 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.
Re: [R] Replace missing values in lapply
Perfect, thxs -Original Message- From: Dimitris Rizopoulos [mailto:[EMAIL PROTECTED] Sent: Wednesday, January 24, 2007 10:49 AM To: Doran, Harold Cc: r-help@stat.math.ethz.ch Subject: Re: [R] Replace missing values in lapply you need to return x in the function within lapply(), e.g., something like lapply(TP, function(x) { x[is.na(x)] - 0; x }) I hope it works. Best, Dimitris Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(0)16/336899 Fax: +32/(0)16/337015 Web: http://med.kuleuven.be/biostat/ http://www.student.kuleuven.be/~m0390867/dimitris.htm - Original Message - From: Doran, Harold [EMAIL PROTECTED] To: r-help@stat.math.ethz.ch Sent: Wednesday, January 24, 2007 4:40 PM Subject: [R] Replace missing values in lapply I have some matrices stored as elements in a list that I am working with. On example is provided below as TP[[18]] TP[[18]] level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 Now, using prop.table on this gives prop.table(TP[[18]],1) level2 level1 1 2 3 4 1 1 0 0 0 2 3 4 It is important for the zero's to retain their position as this matrix will subsequently be used in some matrix multiplication and hence, must be of dimension 4 by 4 so that is it conformable for multiplcation with another matrix. In looking at the structure of the object resulting from prop.table I see NaNs, and so I can do this rr - TP[[18]] rr[is.na(rr)] - 0 rr level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 This is exactly what I want for each matrix. But, I have multiple matrices stored within the list that need to be changed and so I am trying to resolve this via lapply, but something is awry (namely the user), but I could use a little help. I was thinking the following function should work, but it doesn't. It reduces each matrix within the list to a 0. PP - lapply(TP, function(x) x[is.na(x)] - 0) Am I missing something obvious? Harold [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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. Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm __ R-help@stat.math.ethz.ch mailing list 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.
Re: [R] Replace missing values in lapply
I wonder if a list of matrices is the best representation? Do your matrices all have the same dimension as in: TP - list(matrix(c(1:3, NA), 2), matrix(c(NA, 1:3), 2)) # Then you could consider representing them as an array: TPa - array(unlist(TP), c(2,2,2)) # in which case its just TPa[is.na(TPa)] - 0 TPa On 1/24/07, Doran, Harold [EMAIL PROTECTED] wrote: I have some matrices stored as elements in a list that I am working with. On example is provided below as TP[[18]] TP[[18]] level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 Now, using prop.table on this gives prop.table(TP[[18]],1) level2 level1 1 2 3 4 1 1 0 0 0 2 3 4 It is important for the zero's to retain their position as this matrix will subsequently be used in some matrix multiplication and hence, must be of dimension 4 by 4 so that is it conformable for multiplcation with another matrix. In looking at the structure of the object resulting from prop.table I see NaNs, and so I can do this rr - TP[[18]] rr[is.na(rr)] - 0 rr level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 This is exactly what I want for each matrix. But, I have multiple matrices stored within the list that need to be changed and so I am trying to resolve this via lapply, but something is awry (namely the user), but I could use a little help. I was thinking the following function should work, but it doesn't. It reduces each matrix within the list to a 0. PP - lapply(TP, function(x) x[is.na(x)] - 0) Am I missing something obvious? Harold [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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@stat.math.ethz.ch mailing list 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.
Re: [R] Replace missing values in lapply
I hadn't thought of that. I use the following at one point in my program tmp - with(data, tapply(variable, index, table)) Which returns a list. So, I just went with it for the rest of my program. I'm changing code now to arrays, I think you're right and this may be a better representation. I need to walk through this and see what turns up. Thanks for the recommendation. -Original Message- From: Gabor Grothendieck [mailto:[EMAIL PROTECTED] Sent: Wednesday, January 24, 2007 11:06 AM To: Doran, Harold Cc: r-help@stat.math.ethz.ch Subject: Re: [R] Replace missing values in lapply I wonder if a list of matrices is the best representation? Do your matrices all have the same dimension as in: TP - list(matrix(c(1:3, NA), 2), matrix(c(NA, 1:3), 2)) # Then you could consider representing them as an array: TPa - array(unlist(TP), c(2,2,2)) # in which case its just TPa[is.na(TPa)] - 0 TPa On 1/24/07, Doran, Harold [EMAIL PROTECTED] wrote: I have some matrices stored as elements in a list that I am working with. On example is provided below as TP[[18]] TP[[18]] level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 Now, using prop.table on this gives prop.table(TP[[18]],1) level2 level1 1 2 3 4 1 1 0 0 0 2 3 4 It is important for the zero's to retain their position as this matrix will subsequently be used in some matrix multiplication and hence, must be of dimension 4 by 4 so that is it conformable for multiplcation with another matrix. In looking at the structure of the object resulting from prop.table I see NaNs, and so I can do this rr - TP[[18]] rr[is.na(rr)] - 0 rr level2 level1 1 2 3 4 1 79 0 0 0 2 0 0 0 0 3 0 0 0 0 4 0 0 0 0 This is exactly what I want for each matrix. But, I have multiple matrices stored within the list that need to be changed and so I am trying to resolve this via lapply, but something is awry (namely the user), but I could use a little help. I was thinking the following function should work, but it doesn't. It reduces each matrix within the list to a 0. PP - lapply(TP, function(x) x[is.na(x)] - 0) Am I missing something obvious? Harold [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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@stat.math.ethz.ch mailing list 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.