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Hello, I update my building scripts to build LLVM 4.0 RC1 (with clang, lldb, libc++, libc++abi, lld) on CentOS 6 and I got a lot of undefined symbols during linking LLDB. I'm using clang-3.9 and this configuration: -DLLVM_TARGETS_TO_BUILD="X86" -DCMAKE_BUILD_TYPE=Release -DCMAKE_C_COMPILER=/usr/bin/clang -DCMAKE_CXX_COMPILER=/usr/bin/clang++

Hi all, I have a question about linear model with interaction: I created a data frame df like this: >df V1 V2 V3 V4 V5 1 6.414094 c t a g 2 6.117286 t a g t 3 5.756922 a g t g 4 6.090402 g t g t ... which holds the response in the first column and letters (a,c,g,t) in the other columns. I am interested to see if there are interactions between the neigbourin...

Hi all, I have a question about linear model with interaction: I created a data frame df like this: >df V1 V2 V3 V4 V5 1 6.414094 c t a g 2 6.117286 t a g t 3 5.756922 a g t g 4 6.090402 g t g t ... which holds the response in the first column and letters (a,c,g,t) in the other columns. I am interested to see if there are interactions between the neigbourin...

...Pero si el siguiente año es del mismo ID, acumula el valor de la cantidad que hemos introducido en esa fila... Con el siguiente código se resuelve este error y además ya está preparado para contemplar cualquier tipo de salto en años. He modificado un para de años sobre el resultado inicial del sqldf para mostrarlo. El problema de este código es que son dos bucles seguidos...pero resuelve la situación... #---------------------------------------------------------------------- Lines <- "ROW ID FECHA YEAR CANTIDAD 1 100 2005-08-02 2005 1 2 100 2005-10-19 2005 2 3 100...

...as one object, ID. If I run the loops by themselves using a character value (ie,"VFFF1-7") instead of the function object, then the loops work fine. However, when I try to insert the character value via the function call, it doesn't work. I don't get an error, but the TotalCover.df dataframe does not update according to the loop criteria. Any obvious problems that you can see? ################Cover Function######################### #Define Variables Quadrats.df<-unique(data.df$Quadrat) TotalCover.df<-cbind(0:750/10,0,0,0,0,0,0) colnames(TotalCover.df)<- c(&qu...

...in 2 The entry of column y that is in the same row 3 The entry of column z that is in the same row It'd be good to save this info in a data frame somehow - so that I could loop through rows of this data frame. To explain what I need it for eventually: I have a different data frame "large.df" that has the same columns (variables) - but with many more entries than "x". Something like: large.df<-expand.grid(y,z) names(large.df)<-c("y","z") set.seed(123) large.df$a<-sample(0:5,75,replace=T) set.seed(234) large.df$b<-sample(0:5,75,replace=T) s...

..., I see you are one of the contributors to the rbecnhmark package. I am sorry that I am bothering you again. I have tried to run your code (slightly tweaked) involving the benchmark function, and I am getting the following error message. What am I doing wrong? Error in benchmark(d1 <- s1(df), d2 <- s2(df), d3 <- s3(df), d4 <- s4(df), : could not find function "s1" > > identical (d1,d2), identical (d1,d3), identical (d1,d4), identical (d1,d5), identical (d1,d6) Error: unexpected ',' in "identical (d1,d2)," > sessionInfo () R version...

Hello, I have two very basic questions (console attached): 1) What am I getting an error message for # 5 and # 7 ? 2) How to fix the code? I would appreciate receiving your help. Thanks, Pradip Muhuri ###### Reproducible Example ##### N <- 100 set.seed(13) df<-data.frame(matrix(sample(c(1:10),N, replace=TRUE),ncol=5)) keep_var <- c("X1", "X2") drop_var <- c("X3", "X4", "X5") df[df$X1>=8,] [,1:2] #1 df[df$X1>=8,] [,-c(3,4,5)] #2 df[df$X1>=8,] [,c(-3,-4,-5...

...lks, I'm trying to vectorize a loop that processes rows of a dataframe. It involves lots of conditionals, such as "If column 10 == 3, and if column 3 is True, and both column 5 and 6 are False, then set column 4 to True". So, for example, any ideas about vectorizing the following? df = data.frame( list(a=c(1,2,3,4), b=c("a","b","c","d"), c=c(T,F,T,F), d=NA, e=c(F,F,T,T)) ) for (i in 1:nrow(df)) { if (df[i,3] %in% c(FALSE,NA) & (df[i,1] > 2 | df[i,5]) ) { df[i,4] = 1 } if (df[i,5] %in% c(TRUE, NA) & df[i,2...

...t mathematically, but it seems forced and won't scale well for nested logic. I have two examples below writing columns e & f, but I don't think the code is self-documenting as it depends on knowing that Test is a TRUE/FALSE. Is there a better way to do the following? Thanks, Mark DF <- data.frame(cbind(a=1:4, b=1:2, c=1:8, d=1:16, e=0, f=0)) DF$Test <- with(DF, a == b) DF$e = (DF$c*DF$d) * DF$Test + (DF$c+DF$d) * !DF$Test DF$f = with(DF, (c*d)*Test + (c+d)*!Test) DF

...ction (see below). This function has one object, ID. If I run the loops by itself using a character value (ie,"VFFF1-7"), then the loops work fine. However, when I try to insert the character value via the function call, it doesn't work. I don't get an error, but the TotalCover.df dataframe does not update according to the loop criteria. Any obvious problems that you can see? ################Cover Function######################### #Define Variables Quadrats.df<-unique(data.df$Quadrat) TotalCover.df<-cbind(0:750/10,0,0,0,0,0,0) colnames(TotalCover.df)<- c(&quot...

#Hello, # I have a question about the addition of values in specific columns and rows of a Data frame. # Below I have created two data frames, X.df and "Y.df". ## creation of X.df data frame X<- matrix(0,16,3) X.df<-data.frame(X) X.df[,1] <- c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4) X.df[,2] <- c(1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4) names(X.df)[1]<-"L(A)a(i)" names(X.df)[2]<-"L(B)a(j)" names(X.df)[3]<-...

...006", "16/04/2007"), > CANTIDAD = c(1, 2, 1, 1, 1, 1, 5, 1, 3)) > > class(datos2$FECHA) # Es un factor > > datos2$FECHA <- as.Date(datos2$FECHA,"%d/%m/%Y") > class(datos2$FECHA) # Ahora ya es una fecha > > > > # Código > > library(sqldf) > > df.tmp <- sqldf("select ID,YEAR, sum(CANTIDAD) as cusum from datos2 group by ID,YEAR > order by ID,YEAR") > > > for(i in 1:nrow(df.tmp)) { > if(i==1 ) { > df.tmp$difID[i] <- 0 > df.tmp$difYE[i] <- 0 > > } > else{ >...

Hello again... sorry to be posting yet again, but I hadn't anticipated this problem. I am trying to now put the names found in one column in data frame 1 (lets call it df.1[,1]) in to a list from the rows where the values in df.1[,2] match values in a column of another dataframe (df.2[3]) I tried to write this function so that it put the list of names (called Iffy) where the 2 criteria (df.1[141] and df.2[21]) matched but I think its too complex for a beginner R-...

...y to keep this simple because I am not willing to confuse you at all. I have a little data frame which I have created the following way: a <-c(1,1,1,1,1,2,2,2,2,2,3,3,3,3,3,4,4,4,4,4,5,5,5,5,5,6,6,6,6,6) b <-c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30) df <-as.data.frame(cbind(a,b)) df Now in the next step I would have liked to create smaller dataframes where the data have been extracted (basically splitted) from the main 'df' dataframe according to the numbers in df$a. Something like this: a b 1 1 1 2 1 3 1 4 1 5 a b 2 6 2 7 2 8 2...

...e un spline (o en su defecto algún tipo de línea suavizadora que no necesariamente tenga que pasar por los puntos de cada sujeto). Además, quisiera hacerlo en R básico, esto es, sin recurrir al uso de paquetes adicionales tipo lattice, ggplot2. A modo de ejemplo, tengo el siguiente data frame: df <- data.frame( id = factor(rep(c(1,2,3), c(3,4,3))), x = c( 1, 14, 22, 2, 9, 20, 25, 4, 15, 22), y = c(35, 28, 52, 79, 64, 70, 95, 45, 102, 105)) E intento (sin conseguir resultado): plot(df$x, df$y, xlab = "time", ylab="va...

...ctors in the seventh iteration. At the end of the output is the aforementioned error message. Finally, I have included the model from biglm. Thanks in advance! Code: ======= iter <- nrow(nov.2010) predict.nov.2011 <- vector(mode='numeric', length=iter) for (i in 1:iter) { iter.df <- nov.2010 ##---------- Update values of dynamic variables ------------------ iter.df$age <- iter.df$age + 12 iter.df$pct_utilize <- iter.df$pct_utilize + mc.util.delta[i] iter.df$updated_varname1 <- ceiling(iter.df$updated_varname1 + mc.varname1.delta[...

...should probably have some error checking in there for when it doesn't.? C) When i tried to condense it to below, I got an error that division is only valid for equal sized data frames and I'm not sure why so maybe someone can say something about that ? temp <- lapply(split(DF,list(DF$sp,DF$wg)), function(.df) { ? ? ? .df[(.df$n != 1),c(3,4,5,6,7)] <- .df[(.df$n != 1),c(3,4,5,6,7)]/.df[(.df$n == 1),c(3,4,5,6,7)] ? ? ? .df }) # WORKING CODE #=========================================================================== ? DF <-...

there is a data frame, like this: > df aa bb 1 a 20.27802 2 b 22.10664 3 c 21.33470 4 a 22.32898 5 b 19.73760 6 c 20.38979 .....(suppressed) what I want to do is to copy the data frame's rows into different data frames according to the levels of 'aa' column, > df.a <- df[df[,1]==&...