search for: df0

...An example is given by the following code. >int <- as.factor(paste("[", rep(10, 11), ",", seq(20,120, by=10), ")")) >nsamA <- c(62, 83, 118, 151, 180, 201, 212, 215, 216, 217, 218) >nsamB <- c(65, 90, 128, 163, 190, 199, 209, 214, 215, 216, 218) >df0 <- data.frame(int, nsamA, nsamB) >df0 Since the interval [10, s) with n_s samples is nested in [10, t)with n_t sample for s < t, we know n_s - n_t samples exist in the interval [s, t). If this sample size of the difference is small I want to exclude the interval [10,s). This can be done c...

Hello, I am trying to achieve something which I *think* is possible using rowsum, but a little help should be useful: Consider the following dataframe DF0: A B C 89 1 140 89 06 20 89 29 137 89 52 13 89 57 10 89 97 23 89 1 37 89 1 12 89 1 3 52 1 11 52 1 31 52 1 16 52 1 6 52 1 10 52 1 13 52 1 10 52 1 25 52 1 2 52 59 38 52 97 75 57 1 14 57 1 13 57 1 14 57 114 12 57 1 23 57 06 26 I need create a new dataframe containing the sums of all the rows where...

Good Evening Is there a setting that I can change in R so that I get either a warning or an error message if I reference non-existent data in a data frame? For example I get no warning or error message with the following: > set.seed(2013) > df0=data.frame(cbind(x=rnorm(1000),y=rnorm(1000))) > df0$z=df0$w > head(df0) x y 1 -0.09202453 1.51179695 2 0.78901912 -0.60084547 3 -0.66744232 -0.02180077 4 1.36061149 -0.74909011 5 1.50768816 -2.25128946 6 -2.60754997 0.43708800 Thanks Joe [[alternative HTML versi...

...sería así: V1 V2 V3 a33 <NA> 10-04 <NA> <NA> <NA> <NA> d52725 <NA> <NA> <NA> <NA> Y quiero lograr algo así V1 V2 V3 a33 d52725 10-04 Mi script es así: Nombre.1<-colnames(df0) #df0 es el dataframe que obtengo con NA df<-data.frame(1) #inicio un nuevo data frame con una variable sin nombre y valor 1 for (i in Nombre.1) {merge(df, subset(paste("df0$",i,sep=''),!is.na(paste("df0$",i,sep=''))))} #el loop Cualquier ayuda será apre...

...> > <NA> d52725 <NA> > > <NA> <NA> <NA> > > > > Y quiero lograr algo así > > > > V1 V2 V3 > > a33 d52725 10-04 > > > > Mi script es así: > > > > Nombre.1<-colnames(df0) #df0 es el dataframe que obtengo con NA > > > > df<-data.frame(1) #inicio un nuevo data frame con una variable sin nombre y > > valor 1 > > > > > > for (i in Nombre.1) > > {merge(df, subset(paste("df0$",i,sep=''),!is.na(paste("d...

...regresión de Cox y gráficas)? Si a alguien se anima a contestar, adjunto un link con los datos (.Rdata) y el script que he utilizado en el análisis. https://www.dropbox.com/s/d96itird8ms42yx/dataframe.Rdata?dl=0 <https://www.dropbox.com/s/d96itird8ms42yx/dataframe.Rdata?dl=0> sapply(levels(df0$bmi0),function (x){ #####SURVIVAL CURVE dfx=filter(df0,bmi0==x) surv2=Surv(dfx$bmi,dfx$MetS) km2=survfit(surv2~dfx$apoe4)##start.time=20,type='kaplan') plot(km2,lty=2:1,xlim=c(20,41),xlab='BMI at onset',main=x,mark.time = F) legend('bottomleft',c('E4',...

Hi, If df is a dataframe, its last column can't be deleted using "[<-", but other columns can be deleted this way. Example: > (df <- df0 <- data.frame(x = 1:3, y = 4:6, z = 7:9)) x y z 1 1 4 7 2 2 5 8 3 3 6 9 > df[, "z"] <- NULL Error in x[[jj]] : subscript out of bounds > df[, 3] <- NULL Error in x[[jj]] : subscript out of bounds > df["z"] <- NULL Error in x[[jj]] : subscript out of bounds...

Dear R buddies, This weekend I became interested in solving Google Code Jam problems using R. I guess R may work very well in this kind of contests but the input of file has been a problem for me. Take this case for example (http://code.google.com/codejam/contest/dashboard?c=agdjb2RlamFtchALEghjb250ZXN0cxjRzBQM), the files are usually of the form: A(number of lines for group 1) a11 a12 a13 a21

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Dear Help-Rs,   I have data similar to the following:   DF <- structure(list(X = 1:22, RESULT = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("NEG", "POS"), class = "factor"), YR_MO = c(201011L, 201012L, 201101L, 201102L, 201103L, 201104L, 201105L, 201106L, 201107L, 201108L, 201109L, 201011L,

Hello, I have a csv file with many variables, both characters and integers. I would like to load it on R and do some operations on integer variables, the problem is that R loads the entire dataset considering all variables as characters, instead I would like that R makes the distinction between the two types, because there are too many variables to do: x1<-as.integer(x1)

...1.0.3 MY CODE: computeAllPairSums <- function(filename, nbindiv,nrows.to.read) { con <- file(filename, open="r") on.exit(close(con)) ans <- matrix(numeric(nbindiv * nbindiv), nrow=nbindiv) chunk <- 0L while (TRUE) { #read.table faster than scan df0 <- read.table(con,col.names=c("ID1", "ID2", "ignored", "sharing"), colClasses=c("integer", "integer", "NULL", "numeric"),nrows=nrows.to.read,comment.char="") DT <- data.table(df0)...

...e below? No, but it is *normally* or *usually* the best option, in my opinion. Best, John > > regards, > > Heinz > > ### trivial example > plotwithline <- function(x, y) { > plot(x, y) > abline(lm(y~x)) ## data argument? > } > > set.seed(25) > df0 <- data.frame(x=rnorm(20), y=rnorm(20)) > > plotwithline(df0[['x']], df0[['y']]) > > > > Fox, John wrote/hat geschrieben on/am 17.12.2018 15:21: >> Dear Martin, >> >> I think that everyone agrees that it?s generally preferable to use the d...

FWIW, before all the examples are changed to data frame variants, I think there's fairly good reason to have at least _one_ example that does _not_ place variables in a data frame. The data argument in lm() is optional. And there is more than one way to manage data in a project. I personally don't much like lots of stray variables lurking about, but if those are the only variables out

Here is a drop-in replacement for the R incomplete beta function. src/math/pbeta.c It is a slightly modified version of the cephes library one from Netlib. In the few cases I tried it seems to give at least 14 digit agreement with the one in S-PLUS (its hard to get more). I'm not sure what performance is like. I'd like to know if it helps with some of the problems which have been

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...ing tested, I find > > ## loess.control : > f <- get("loess.control", pos = 2) ... lines that look ok omitted ... > f(l0) Error in all(arg == choices) : Object "l0" not found > f(c0) Error in all(arg == choices) : Object "c0" not found > f(df0) Error in all(arg == choices) : Object "df0" not found > f(F) Error in pmatch(x, table, duplicates.ok) : argument is not of mode character > f(list(),list()) $surface [1] "interpolate" $statistics [1] "approximate" $trace.hat [1] "exact" $cell [1]...

...hanged my system. When a different medium (Disk) was needed and not present, the first system asks: 'Please insert Volume "Application, Disk 2" in any Drive'. The system detected the Media-Change and closed the Requester automatic, no matter in which Drive you inserted the Disk (DF0:, DF1: DF2 or DF3: for Floppy-Disks). Even the Requester was created automatic, when the required medium was not found and the Application did not forbid this behaviour explicit. About 20 Years later in 1994, a different System told me to insert the "Installation CD #2" in drive "...

Dear R-list, I have a partly comma separated partly underscore separated string that I am trying to parse into R. Furthermore I have a bunch of them, and they are quite long. I have now spent most of my Sunday trying to figure this out and thought I would try the list to see if someone here would be able to get me started. My data structure looks like this, (in a example.txt file) Subject

..... [DB0] 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ........ ........ [DC0] 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ........ ........ [DD0] 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ........ ........ [DE0] 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ........ ........ [DF0] 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ........ ........ [E00] 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ........ ........ [E10] 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ........ ........ [E20] 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ........ ........ [E30] 00...