[R] Subsets of Boolean string model

Dear R-help list, I have a problem regarding text manipulation in R, where my basic knowledge doesn't suffice anymore. It might be a bigger problem, but any help would be greatly appreciated and acknowledged. As input, I have a character string representing some Boolean function, such as "aB+Bc+D

Re: [R] Subsets of a function

spronkelijk bericht- Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens jim holtman Verzonden: dinsdag 20 mei 2014 2:44 Aan: Marlin Keith Cox CC: r-help@r-project.org Onderwerp: Re: [R] Subsets of a function It would have been nice if you at least supplied a subset

Re: [R] Subsets of a function

It would have been nice if you at least supplied a subset of the data, but here is a try at it: myList <- split(size, list(size$Year, size$Season)) result <- lapply(myList, function(.sub){ smooth.spline(.sub$Size, spar = 0.25) }) Jim Holtman Data Munger Guru What is the problem that you a

Re: [R] Subsets of a function

Have you read "An Introduction to R" and sections on indexing (?"[") where this is discussed. Have you read about apply type functions there like ?tapply. If not, don't you think you should. If so, read again. Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is

[R] Subsets of a function

Hi all, this is a reoccurring theme in my programming and I need some help with it. When I use a built in function and need to use it on a subset of my data frame, I always end up using the subset function first, but this seems very clunky. For example, if I have years 2003:2013 with season "a" a

Re: [R] subsets

require(data.table) DT = as.data.table(df) # 1. Patients with ah and ihd DT[,.SD["ah"%in%diagnosis && "ihd"%in%diagnosis],by=id] id diagnosis [1,] 2ah [2,] 2 ihd [3,] 2im [4,] 4ah [5,] 4 ihd [6,] 4angina # 2. Patients with ah but no ihd DT[,.S

Re: [R] subsets

On 2011-01-20 02:05, Taras Zakharko wrote: Hello Den, your problem is not as it may seem so Ivan's suggestion is only a partial answer. I see that each patient can have more then one diagnosis and I take that you want to isolate patients based on particular conditions. Thus, simply looking for

Re: [R] subsets

On Thu, Jan 20, 2011 at 10:53:01AM +0200, Den wrote: > Dear R people > Could you please help. > > Basically, there are two variables in my data set. Each patient ('id') > may have one or more diseases ('diagnosis'). It looks like > > iddiagnosis > 1 ah > 2 ah > 2 ihd > 2 im >

Re: [R] subsets

Hi Taras, Indeed, I've overlooked the problem. Anyway, I'm not sure I would have been able to give a complete answer like you did! Ivan Le 1/20/2011 11:05, Taras Zakharko a écrit : Hello Den, your problem is not as it may seem so Ivan's suggestion is only a partial answer. I see that each

Re: [R] subsets

I did try it. It gave me [[1]] id diagnosis 1 1ah 5 3ah 7 4ah 8 4 ihd 10 5 ihd [[2]] id diagnosis 1 1ah 2 2ah 5 3ah 7 4ah [[3]] id diagnosis 3 2 ihd 8 4 ihd 10 5 ihd Which isn't what t

Re: [R] subsets

Hello Den, your problem is not as it may seem so Ivan's suggestion is only a partial answer. I see that each patient can have more then one diagnosis and I take that you want to isolate patients based on particular conditions. Thus, simply looking for "ah" or "idh" as Ivan suggests will yield p

Re: [R] subsets

Try this: lapply(list(c('ah', 'ihd'), 'ah', 'ihd'), function(x)subset(aDF, diagnosis == x)) On Thu, Jan 20, 2011 at 6:53 AM, Den wrote: > Dear R people > Could you please help. > > Basically, there are two variables in my data set. Each patient ('id') > may have one or more diseases ('diagnosi

Re: [R] subsets

I don't think Ivan's solution meets the OP's needs. I think you could do it using %in% and the approriate logical operations e.g. aDF <- data.frame(id=c(1,2,2,2,3,3,4,4,4,5), diagnosis=c("ah", "ah", "ihd", "im", "ah", "stroke", "ah", "ihd", "angina", "ihd")) aDF[with(aDF,(id %in% id[diagno

Re: [R] subsets

Hi! I think you should read the intro to R, as well as ?"[" and ?subset. It should help you to understand. Let's say your data is in a data.frame called df: # 1. ah and ihd df_ah_ihd <- df[df$diagnosis=="ah" | df$diagnosis=="ihd", ] ## the "|" is the boolean OR (you want one OR the other). N

[R] subsets

Dear R people Could you please help. Basically, there are two variables in my data set. Each patient ('id') may have one or more diseases ('diagnosis'). It looks like id diagnosis 1 ah 2 ah 2 ihd 2 im 3 ah 3 stroke 4 ah 4 ihd 4 angina 5

Re: [R] subsets, %in%

> Say I need to keep ID 1,2,4,5, 10 from the data frame dat. I can do: > dat <- data.frame(ID = 1:10, var = 1:10) > someID <- c(1,2,4,5,10) > subset(dat, dat$ID %in% someID) > Is there a quick way to do the opposite ... > Two operators spring to mind: ! and %nin subset(dat, !(dat$ID %in% so

Re: [R] subsets, %in%

Hi MP, Try subset(dat, ! dat$ID %in% someID) # ! symbol HTH, Jorge On Fri, Nov 5, 2010 at 10:13 AM, <> wrote: > Hi, > > I have a question about %in% and subsettin data frames. > > Say I need to keep ID 1,2,4,5, 10 from the data frame dat. I can do: > > dat <- data.frame(ID = 1:10, var = 1:10)

Re: [R] subsets, %in%

ill a room when its empty? Does the room, the thing itself have purpose? Or do we, what's the word... imbue it." - Jubal Early, Firefly From: mp.sylves...@gmail.com To: r-help@r-project.org Date: 11/05/2010 02:21 PM Subject: [R] subsets, %in% Sent by: r-help-boun...@r-project.org

Re: [R] subsets, %in%

Well, %in% returns a logical vector... So subset(dat, ! ID %in% someID) Also, from ?subset: Note that ‘subset’ will be evaluated in the data frame, so columns can be referred to (by name) as variables in the expression Thus, you don't need 'dat$ID', bur just 'ID' in the subset argum

[R] subsets, %in%

Hi, I have a question about %in% and subsettin data frames. Say I need to keep ID 1,2,4,5, 10 from the data frame dat. I can do: dat <- data.frame(ID = 1:10, var = 1:10) someID <- c(1,2,4,5,10) subset(dat, dat$ID %in% someID) Is there a quick way to do the opposite, ie to do a subset that conta

[R] subsets with a small cardinality for variable selection

Hello, I am working on a variable selection problem and would like to have some suggestions. Thank you. In my data, the number of observations/samples is much less than the number of variables. And I am not interested in generating only a few models, instead I will need a couple of hundred m

Re: [R] subsets problem

See if this illustration using the %in% operator within subset() is helpful: > df1 <- data.frame(x=1:10, y=sample(c("a","b","c"), 10, replace=TRUE) ) > uniques <- list("a","b") > > Test1 <- subset(df1, y %in% uniques) > Test1 x y 1 1 b 4 4 a 5 5 b 6 6 b 7 7 a 9 9 a Next question of cours

Re: [R] subsets problem

you can try lapply(lapply(uniques, function(x) subset(df, date == x)), myfun) or possibly more accurate (subset may be finicky due to scoping): lapply(lapply(uniques, function(x) df[df$date == x, ]), myfun) or use ?split lapply(split(df, df$date), myfun) HTH, --sundar On Sun, Feb 8, 2009 at

[R] subsets problem

Help with this much appreciated I have a large dataframe that I would like to subset where the constraint Test1 <- subset(df, date == uniques[[1]]), where uniques is a list of dates that must be matched to create Test1. I would like to perform an operation on Test1 that results in a sin