search for: dataframe2

...m. I have two dataframes. dataframe1: X value row col ID 1 8.973498062 5512625 3460000 1 2 11.656658570 5501625 3464000 2 3 11.121777570 5495625 3473000 3 4 9.310465964 5508625 3477000 4 5 8.883483845 5515625 3496000 5 dataframe2: X value row col ID n 1 11.105009400 5511625 3463000 1 -619.112472616732 2 10.324148150 5499625 3465000 0 1.000000000000 3 8.744590903 5503625 3475000 0 1.000000000000 4 9.523473123 5494625 3475000...

Dataframe1 contains a list of specific dates. Dataframe2 contains a large dataset, one element of which is Date. How do I create a subset of Dataframe2 that excludes the dates from Dataframe1? I know how to do it with a left outer join vs null in SQL, but I can't figure out how to do it more directly via the subcripts that already exist? Dateframe1...

dear all, I have two dataframes dataframe1 ID a b c dataframe2 ID value a;W 100 X;c 200 Y;Z 300 I wanted to match the IDs from the two dataframes and record the values into a new column of dataframe1 at the corresponding rows. This is what I expect: dataframe1 ID value a 100 b c 200 I tried doing it like this: for (...

...e 2 data-frames, samples below and there is an expected output R Dataframe1: C1 C2 C3 C4...... CN R1 0 1 0 1 R2 1 0 1 1 R3 1 0 0 0 . . . RN U Dataframe2 : C1 C2 C3 C4...... CN U1 1 1 0 1 U2 1 1 1 1 Expected Output: U1 satisfies R1, R3 U2 satisfies R1, R2, R3 So this is a comparison of dataframes problem, with a subset dimension. T...

I have a dataframe named ?temp?, and another dataframe named ?descriptions?. I wish to ?rename? temp, and to ?call? it the names of a certain column in the dataframe ?descriptions?. Is there a good way to do this? A similar question: I am using a ?for loop? to create several new dataframes. e.g. for(j in 1:9){ .. I?d like each dataframe to be named d1, d2, d3, with the number being tied to

HI, I have the array list: X<-vector("list", 2) X[[1]] : data frame 1 X[[2]]: dataframe2 now i want to change index 1 and 2 into: "0-10" , "11-20" ,. finally I want to have X[["0-10"]]:dataframe1 X[["11-20"]]:dataframe2 how do I get them? Thanks a lot. Kind regards, Tammy [[alternative HTML version deleted]]

...put > > R Dataframe1: > C1 C2 C3 C4...... CN > R1 0 1 0 1 > R2 1 0 1 1 > R3 1 0 0 0 > . > . > . > RN > > U Dataframe2 : > C1 C2 C3 C4...... CN > U1 1 1 0 1 > U2 1 1 1 1 > > > Expected Output: > U1 satisfies R1, R3 > U2 satisfies R1, R2, R3 > I don't think you have c...

Hi Thanks Gabor for your suggestion. I am posting the code that worked for me. dataframe1 = data.frame(cbind(Src = c(1,1,1,2,3), Target1 = c('aaa','bbb','ccc','aaa','ddd'))); #must be data frame dataframe2 = data.frame(cbind(Src = c(2,3,4,4,4), Target2 = c('aaaa','dddd','bbbb','eeee','ffff'))); dataframe3 = data.frame(cbind(Src = c(1,3,5,6,6), Target3 = c('xx','yy','zz','tt','uu'))); dataframe4 = data.frame(cbind(Src = c(...

hello, the example below does not work. (i know it's not supposed, but it makes it clear what i'm trying to achieve) par(mfrow=c(2,1)) xyplot(y~x2|x1,data=dataframe1,pch=20) xyplot(y~x2|x1,data=dataframe2,pch=20) i know i could probably merge the two datasets and do something like xyplot(y~x2|x1+dataset,data=merged) any other suggestion? thanks. [[alternative HTML version deleted]]

...imula veris,2,herb This will be made for data frames a lot larger than this one so it needs to be automated in some way. Also, as you can see the second data frame contains more species than the first one so I need to pick them out by name not only by row number... (I tried something like: subset(dataframe2.df, dataframe2.df$species==as.character(unique(dataframe1.df$species))) in a for loop but I got an error about different factor levels which is true.) Any help is very appreciated! Jonas -- View this message in context: http://r.789695.n4.nabble.com/new-column-from-column-in-another-df-tp303361...

...>I need to merge several data.frames into one data.frame. In S-Plus I would >use >"merge" but I don't see a merge command in R. What is the best way to >accomplish >this? The easiest way to to this, I think, is as follows: if you have several data frames, dataframe1, dataframe2, . . . , dataframen, you can merger them all into one dataframe by using the data.frame command again with the individuaal data.frames as arguments: data.frame(dataframe1, dataframe2, . . . , dataframen) here's a quick example: > a1_c(1, 1, 1) > a2_c(2, 2, 2) > b1_c(3, 3, 3) > b...

..., Sorry to bother you. Have been try to read my data into R (something I have done in the past) but having an error message with this one. Any possible help please? Thanks. Oz This is the error I am getting (please see bold): > setwd("D:/Replication/") >library(gmp) > dataFrame2=read.table("data.txt",header=T) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 58 elements [[alternative HTML version deleted]]

...5 5 96 2005-02-19:15:00 20.1 15 97 2005-02-20:18:00 16.5 95 95 2005-03-03:18:00 10.3 95 95 2005-03-04:00:00 13.4 13 95 2005-10-22:15:00 11.3 13 95 2005-10-25:15:00 10.3 2 2 I want to create another dataframe made up of the values of dataframe1 which are not common with dataframe2, ie. newD = D1 - (D1 intersection D2) that is, newD: dates ws wc pwc 2005-10-19:12:00 10.8 80 81 2005-10-20:12:00 12.3 5 15 2005-10-21:15:00 12.3 3 15 2005-10-23:12:00 12.3 13 2 2005-10-24:15:00 10.3 2 95 Thanks for any help you can provide, Augusto --...

...find any function that allows me to do this. Any suggestions of how to generate the jackknife reclassification to assess classification accuracy? (BTW, commands I used to generate predictions appended below.) Many thanks Mat Vanderklift > library(MASS) > Sep04 <- read.table("Sep04 dataframe2.txt", header=TRUE) > trainSep04 <- Sep04[1:125,] > Sep04.lda <- lda(Reef ~ ., trainSep04) > Sep04.lda > predict.Sep04 <- predict(Sep04.lda, Sep04) $class [[alternative HTML version deleted]]

...e 2 data-frames, samples below and there is an expected output R Dataframe1: C1 C2 C3 C4...... CN R1 0 1 0 1 R2 1 0 1 1 R3 1 0 0 0 . . . RN U Dataframe2 : C1 C2 C3 C4...... CN U1 1 1 0 1 U2 1 1 1 1 Expected Output: U1 satisfies R1, R3 U2 satisfies R1, R2, R3 So this is a comparison of dataframes problem, with a subset dimension. T...

...e 2 data-frames, samples below and there is an expected output R Dataframe1: C1 C2 C3 C4...... CN R1 0 1 0 1 R2 1 0 1 1 R3 1 0 0 0 . . . RN U Dataframe2 : C1 C2 C3 C4...... CN U1 1 1 0 1 U2 1 1 1 1 Expected Output: U1 satisfies R1, R3 U2 satisfies R1, R2, R3 So this is a comparison of dataframes problem, with a subset dimension. T...

...uld like to investigate. The first is gene/genome related data given different 'cell-states'. The second set of data is relates the genes to a biological pathway. /(I think in pictures so here goes.)/ *dataframe1* gene, cell-state1, cell-state2 gene1, x1, y1 gene2, x2, y2 gene.x, ..., ... *dataframe2* pathway1, gene-x1, gene-x2, ... pathway2, gene-y1, gene-y2, ... What I want to do is, see if 'cell-state1' (in-)activates different genes / pathways from 'cell-state2.' Furthermore, I would like to test for correlation /(t-test and maybe graphing)/ between the cell-states 1 Vs 2 f...

...1 50 159 169 130 71 SDM053 1 1 100 113 126 110 72 SDM053 1 1 200 118 112 120 these are just part of the frames...... i have to subtract the first five values of dataframe2 from one value from dataframe1 eg: subtract<-DF2$Day_0_Read1-DF1$ ZeroMean if u notice the repair hours in both have to match...along with their id's. i have tried this zeroday_subtract1=DF1$Day_0_Read1 - DF2[DF1$RepairHours,]$ZeroMean but it dosent work please help me with this...i kno...

Is there a library that is able for example to 1. merge 2 dataframes by row eg.: rbind(dataframe1, dataframe2):data.frame 2. delete a column from a dataframe del(dataframe, colname) or del(dataframe, colindex= 1):data.frame? 3. Select lines from a dataframe by a specific function ? select(dataframe, func=small(x){x<1}, colindex=3): data.frame? 4. converting all double columns of a data.frame to a matr...

...----- I get excellent fits using fit1 <-lrm(y ~ x1+x2, data=my.dataframe1) Now I want to see how well my model can predict y for a new set of 4000 observations. I need to predict y for each new observation *individually*. I know an expression like predicted1<-predict(fit1, newdata=my.dataframe2, type=""fitted.ind") can give *probability* of each of the 4 possible responses for each observation. So my questions are (1) How do I pick the likeliest y (i.e., likeliest of the 4 possible ratings) for each given new observation? (2) Are there good reference that explain th...