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Hi, I have a dataset with 6 categorical variables. I have used this following code to make the variables u1-u6 ordered factors and this works well. cat1cat2 cat3 cat4 cat5 cat6 ? 0 ? ?? 1 ? ? 1????? 0 ??? 0? ?? 1 ? 1 ? ?? 1 ? ? 0 ? ?? 0 ? ? 0 ? ? 0 ....... .... ############ data<-read,table("example.txt") data <- as.data.frame(lapply(data, ordered)) ############ Now,

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Hi I have the following columns with dates and results, sorted by subject and date. I'd like to compute the differences in dates and results for each patient, based on the previous row. Obviously the last entry for each subject should be a NA. Which would be the best way to accomplished that ? I guess questions like that have been already answered a thousand times, so I apologize for

hi guys I need to interpolate values for the zero coupon yield curve. Following data is given date days rate 1996 01

I'm new with R. I want to plot 3 lines in one graph. This is my data: print(x) V1 V2 V3 V41 -4800 25195.73 7415.219 7264.282 -2800 15195.73 5415.219 7264.28 I tried using matplot, but I cannot get exactly what I want. This is what I get, and this is my code: matplot(x[,1],x[,-1],type='b', xlab = "epsilon_h", ylab = "Value2", xlim=

I would like to subset data from a larger dataset and generate a smaller dataset. However, I don't want to use sample() because it does it randomly. I would like to take non-random subsamples, for example, every 2nd number, or every 3rd number. Is there a procedure that does this? Thanks, Nate -- View this message in context:

Hi I am trying to process tabular data as follows: Data in the input file is of the form genome1 genome2 tree-dist log10escore Genome1 and genome2 are alphabetic. Tree-dist and log10escore are numeric. I wish to extract only those rows from this table where the log10escore is less than -3. data <-read.table(filename); data$log10escore = data$log10escore[ data$log10escore < -3]; I

Hi all, I'd appreciate if anyone can help me with this... I have a data frame that looks like this: 1 + name1 1 2 3 2 + name2 5 9 10 2 - name3 56 74 93 1 - name4 65 75 98 I need to rearrange this in a way so that the rows with "1" in the first column, and "-" in the second column; then columns 4 and 6 should switch places. That is, column 6 would be now column 4 and

...ot;) > dat[ , "strongest"] <- as.numeric(dat[ , "strongest"]) > dat[ , "secondstrongest"] <- as.numeric(dat[ , "secondstrongest"]) > return(dat) >} > > >#Using your example data: > >yourdata <- structure(list(value0 = c(-13007L, -12838L, -12880L, -12805L, >-12834L, -11068L, -12807L, -12770L, -12988L, -11779L), value60 = c(-11707L, >-13210L, -11778L, -11653L, -13527L, -11698L, -14068L, -11665L, >-11736L, -12873L), value120 = c(-11072L, -11176L, -11113L, -...

I have a data frame with a couple million lines and want to retrieve the largest and second largest values in each row, along with the label of the column these values are in. For example row 1 strongest=-11072 secondstrongest=-11707 strongestantenna=value120 secondstrongantenna=value60 Below is the code I am using and a truncated data.frame. Retrieving the largest value was easy, but I have

Hi, I'm wondering what the fastest way is to delete certain data points (observations) in a data frame. I have a vector of the indices/row.names I would like to delete. I have tried replacing list by list, but it always complains about different lengths, "replacing list of length a with length b" and so on. Another way to think of it is that it's a generazation of na.rm I

HI, i have this matrix and i want to extract  a section of the matrix which present the first and second value of optim position:    OptimYear            LRPhase                                  PriorLRPosition                 OptimPosition            LRPosition   5      2009                      1                                         1.15641679414676       0.33037984561357            1 6     

I'm trying to figure out how to write a r function that will calculate the extreme spread of a group of points given their (x,y) coordinates. Extreme Spread is the maximal Euclidean distance between two points in a group ex.spread = max{ sqrt [ (xi-xj)^2 - (yi-yj)^2 ] } for i not equal to j I have 60 levels to apply this to. There is the combination function in the dprep package but

Hi, I was wondering if there's a function in R that is meant to return a string representation of an object. Basically, it's like print() but it doesn't print anything, it only returns a string. I know there's a str() function but it's not quite the same. I mean a function that returns the same string that print() would display. -- Bye, Ernest

...her 'plm' users on the list: - the problem turned out to be logs of zero values hidden in the big dataset - trying log(xx) would not reveal the problem, because log(0)=-Inf is a valid result in log() while it is an invalid input to plm() --> it is always advisable to try lm(yourformula, yourdata) as a first diagnostic check when plm(yourformula, yourdata, ...) fails: the result should be the same as plm(yourformula, yourdata, model="pooling"); or, for more complicated instances, a more specific "computationally robust" counterpart is lme() from 'nlme'. Best, Gi...

I have a data in the following form : CIN TRN_TYP 9079954 1 9079954 2 9079954 3 9079954 4 9079954 5 9079954 4 9079954 5 9079954 6 9079954 7 9079954 8 9079954 9 9079954 9 . . . . . . there are 100 types of CIN (9079954,12441087,15246633,...) and respective TRN_TYP first of all, I want this data to be

Hi, I have loaded a dataset in R : data = label freq1 freq2 news 54 35 fun 37 21 milk 19 7 food 3 3 .... etc And I have a vector flist<-c("fun","food") Now I want to use the vector 'flist' for selecting these values from 'data' so that I get the following dataset : label freq1 freq2 fun 37 21 food

Hi Experts, I am newbie in R. Could you please share your idea to create a stack with no value or zero value? Nrow=1,Ncol=1, Ncell=1, I aim to work with looping, I want to make a first layer with zero values to add other layers further. Thanks. Best Regards, ..................Anup KhanalNorwegian Institute of science and Technology (NTNU)Trondheim, NorwayMob:(+47) 45174313

> On Oct 13, 2017, at 2:51 AM, PIKAL Petr <petr.pikal at precheza.cz> wrote: > > Hi > > You expect us to solve your problem but you ignore advice already recieved. > > Your data are unreadable, use dput(yourdata) instead. see ?dput > >> test<-read.table("clipboard", heade=T) > Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, : > line 115 did not have 6 elements I didn't have such a problem: (illustrated with a more minimal example) dat <-...

Hello! I am doing an analysis on a questionnaire of hunters taken in 4 different districts of some mysterious foreign country. The aim of the study was to gather info on the factors that determine the hunting success of a peculiarly beautiful bird in that area. All variables are factors, i.e. they are variables such as "Use of Guns - yes / no", "Use of Dogs - yes / no" and