search for: molten

Hello, I've some problem with the ggplot2. Here's a small example: --8<-- library(ggplot2) molten <- data.frame(date=c('01','01','01','01', '02','02','02','02'), channel=c('red','red','blue','blue', 'red','...

I am trying to use the "cast" function from the reshape package, where the formula is not passed in directly, but as the result of the as.formula() function. Using reshape v. 0.7.2 I am able to properly melt() by data with: > molten <- melt(x, id=1:2) then I can properly cast with this: > cast(molten, days ~ variable) but if I try > cast(molten, as.function("days ~ variable")) if returns the error: Error in check_formula(formula, varnames) : Formula contains variables not in list of know...

...nd Blaney columns, to form the rows, columns and values of the new grid respectively. The command I've been using is: cast_test <- cast(finalframe, finalframe$OrigLat~variable, finalframe$Longitude~variable, finalframe$Blaney~variable) Error: Casting formula contains variables not found in molten data: finalframe$OrigLat, variable And I've tried removing the ~variable suffixes: cast_test <- cast(finalframe, finalframe$OrigLat, finalframe$Longitude, finalframe$Blaney) Error: Casting formula contains variables not found in molten data: -87.75-87.75-87.75-87.75-87.75-87.75-87.75-87.75...

Hi, I would like to plot a bunch of tree ring width data (time series) using ggplots, but I'm having trouble figuring out how to do it. My data is in a data.frame, with years as rownames and a distinct tree ring series in each column. So, something like this: rwl<-matrix(rnorm(800), nrow = 100) colnames(rwl) <- paste('V', 1:8, sep = '')

I was just thinking of a way to present data and if it is possible in R. I have a data frame that looks as follows (this is just mockup data). df location,"species1","species2","species3","species4","species5" "loc1",0.44,0.28,0.37,-0.24,0.41 "loc2",0.54,0.62,0.34,0.52,0.71 "loc3",-0.33,0.75,-0.34,0.48,0.61 location

Dear R-users, I recently began using the ggplot2 package and I am still in the process of getting used to it. My goal would be to plot on the same grid a number of curves derived from two distinct datasets. The first dataset (called molten.data) looks like this : Column names : Perc, Week, Weight P10 21 333.3554 P90 21 486.0480 P10 22 452.6347 P90 22 563.8263 P10 23 575.0960 P90 23 661.6841 P10 24 700.4449 P90 24 779.4067 P10 25 828.4966 P90 25 917.1222 The second dataset (called skj) looks like this:...

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Dear useRs, I want to plot the following barplot with lines instead of bars. Is there a way? data <- data.frame(cbind(k = 0:3, fk = c(11, 20,7,2), f0k = c(13.72, 17.64, 7.56, 1.08), fkest = c(11.85, 17.78, 8.89, 1.48))) d <- t(data[,2:4]) barplot(d, beside=TRUE) Regards, Rafael. ____________________________________________________________________________________ [[elided Yahoo

Dear R helpers, I have molten data which is : - > t3 Year variable value 1 2005 ICICI.Bank 274883700000 2 2006 ICICI.Bank 431668500000 3 2007 ICICI.Bank 595153000000 4 2008 ICICI.Bank 630857600000 5 2009 ICICI.Bank 545263300000 6 2005 HDFC.Bank 2658600000 7 2006 HDFC.Ba...

Hi all, I'm an R novice. I have data that's already formatted as "molten" that reshape should be able to work with. For example, the following was read in with read.csv(filename,sep=" ", header=FALSE) V1 V2 V3 V4 V5 1 original book book.source1.txt 328900494 3039.525 2 original book boo...

Hi, I'm using reshape to cast molten data. When I use the following command, R either crashes (when I use Notepad++) or gives an error (when I use Rgui or source()), BUT the error occurs not always, maybe only on half the attempts: w <- cast(v, id + code + productname + year + begin + end + specificDesc + specificDesc2 ~ type) E...

Hi R users I am a new user in the field of R. I want to subset or reshape a data.frame. For example I have a matrix like A B C D E F G a 1 2 3 4 5 6 7 b 4 6 8 9 5 5 6 c 3 4 4 4 3 3 6 d 1 2 4 6 8 8 9 e 5 6 7 8 9 2 3 I want to reshape the matrix in this format Row Col Value a D 4 a E 5 a F 6 . . ..

Dear R-colleagues, I am quite a newbie to R fighting my stupidity to solve a probably quite simple problem of generating artificial data with defined features. I am conducting a study of inter-observer-agreement in child-bronchoscopy. One of the most important measures is Kappa according to Fleiss, which is very comfortable available in R through the irr-package. Unfortunately medical doctors

...omething that I understand Hadley Wickham's Reshape package is ideally suited for, I tried using the following reshape command:   ReshapeDF <- recast(DF, YR_MO~variable)   I get the following error message:   Using RESULT as id variables Error: Casting formula contains variables not found in molten data: YR_MO   I have a work around that allows me to get to my desired endpoint that involves splitting the data.frame into two (by test result), then using the YR_MO as the by.x/by.y in a merge, but I think this task would be handled more efficiently using reshape?  Can anyone help me to see where...

...Truck 2005 17.19801 10 Truck 2006 17.48225 11 Truck 2007 17.40694 12 Truck 2008 17.74042 I should then be able to make a crosstab of the means by writing a formula, right? It fails, though: > cast(mdat, VehType ~ Year | mpg, mean) Error: Casting formula contains variables not found in molten data: mpg When I make the same table by using "variable" instead of the name of my variable, it works: > cast(mdat, VehType ~ Year | variable, mean) $mpg VehType 2003 2004 2005 2006 2007 2008 1 Car 22.03623 21.94160 21.77286 21.49105 21.38180 21.56873 2...

Hi, More questions in my ongoing quest to convert from RapidMiner to R. One thing has become VERY CLEAR: None of the issues I'm asking about here are addressed in RapidMiner. How it handles misisng values, scaling, etc. is hidden within the "black box". Using R is forcing me to take a much deeper look at my data and how my experiments are constructed. (That's a very

hi there.. i got a problem with ggplot2. here my example: library (ggplot2) v1 <- c(1,2,3,3,4) v2 <- c(4,3,1,1,9) v3 <- c(3,5,7,2,9) gender <- c("m","f","m","f","f") d.data <- data.frame (v1, v2, v3, gender) d.data x <- names (d.data[1:3]) y <- mean (d.data[1:3]) pl <- ggplot (data=d.data, aes (x=x,y=y)) pl

On Tue, 2018-05-08 at 15:46 -0400, Stephen John Smoogen wrote: > SSD disks must be shredded as the data has been written over multiple > sectors many times to 'even the writes'. This allows for even a 'dead' > disk to be disassembled with 'off-the-shelf' equipment to extract > items from the dead places. Depending on the data involved, there may > be

Dear R Users, I'm trying to use the reshape package to 'melt' my gridded data into column format. I've done this before on individual files, but this time I'm trying to do it on a directory of files (with variable file names) - therefore I have to also use the 'assign' command. I have come up against a couple of problems however and am therefore seeking advice... >

Hello, Tell me please where I can find detailed description of the Vorbis psychoacoustic model? <p>--- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to 'vorbis-request@xiph.org' containing only the word 'unsubscribe' in the body. No subject is needed. Unsubscribe