similar to: cumsum function with data frame

Dear list, I'll try to be more clear in explaining my problem. I have a data frame like this called X: CLUSTER YEAR variable value1 value2 M1 2005 EC01 NA NA M1 2006 EC01 2 5 M1 2007

Dear list, I have a big data frame which looks like this: variable YEAR VAR EC01 2006 100 EC01 2007 200 EC02 2006 500 EC02 2007 450 PROD

Dear list, I have the following problem, what i'm trying to do is to built a function which does the following calculationg in a recursive way: I have a data frame more or less like this: variable year DELTA EC01 2006 / EC01 2007 10 EC01 2008 5 EC01 2009 9 And then I have at time

Dear list, I have the following problem. I have a data frame like this CLUSTER YEAR variable Delta R_pivot M1 2005 EC01 NA NA M1 2006 EC01 2 NA M1 2007 EC01 4 5 M2 2005

I'm trying to create an xyplot with a "groups" argument where the y-variable is the cumsum of the values stored in the input data frame. I almost have it, but I can't get it to automatically adjust the y-axis scale. How do I get the y-axis to automatically scale as it would have if the cumsum values had been stored in the data frame? Here is the code I have so far:

I have a question about using cumsum on subsets of a data frame. Suppose I have a frame that looks something like this > tmp f x y 1 left 1 0 2 left 2 0 3 left 3 9 4 left 4 10 5 left 5 23 6 left 6 45 7 left 7 13 8 left 8 2 9 left 9 6 10 right 1 10 11 right 2 26 12 right 3 9 13 right 4 50 14 right 5 78 15 right 6 20 16 right 7 7 17 right 8 20 18 right 9 19

Hello Hello i have this DF: > c CHR_NR diffdato1 x 1022 10395 1994-05-30 11.0 39 0 1994 1 1 0 0 24 1 1 24 29100 11377 2003-05-22 17.0 24 0 2003 1 1 0 0 15 1

Dear list, I'm trying to implement the following function, but what I get is an error message and I don't understand where is the error: #outliers'identification: iqr=lapply(bb,function(){ inner_fencesl=quantile(x,0.25)-1.5*IQR(x) inner_fencesh=quantile(x,0.75)+1.5*IQR(x) outer_fencesl=quantile(x,0.25)-3*IQR(x) outer_fencesh=quantile(x,0.75)+3*IQR(x)}) where bb is a dataframe

Hi I have a question, as im not able to import a csv file which contains a big dataset(100.000 records) someone knows how many records R can handle without giving problems? What im facing when i try to import the file is that R generates more than 100.000 records and is very slow... thanks a lot!!!

Hi all, I'm trying to load a csv file in which all the variables must be of type number.The object is a dataframe.When i load the file what i get is a dataframe in wich the variables are of type factor.How can I get variables of type number??? Thanks all

Dear list, I'm looking for an inverse function of melt(which is in package reshape).Namely, I had a data frame like this (Table1) YEAR VAR1 VAR2 VAR3 1995 7 3 45 1996 5 6 32 1997 6 10 15 I transformed my data by using the melt function and my data was reshaped in the following format: (Table2) YEAR variable

Hello all, I apologize if this is simple or has already been answered somewhere, but I'm not sure what to search for although I have tried and didn't come up with anything so.. Here's my question. How can I interpolate list names or do I have to do it post list creation. Since that's not very clear here is some sample code of what I wanted to do: >

Dear list, Im trying to do the following operation but im not able to do it This is my table: 1 2 3 1 0 7 4 2 0 2 0 3 0 1 3 4 0 3 4 what i would like to do is divide each row values with the corresponding column' sum,namely: 1 2 3 1 0 0.54 0.36 2 0 0.15 0 3 0 0.08

Dear List I would like to ask you something concenting a better print of the R output: I have a bit data frame which has the following structure: CFISCALE RAGSOCB ANNO VAR1 VAR2......... 9853312 astra 2005 6 45 9853312 astra 2006 78 45

Dear list, I'm trying to concatenate the values of two columns but im not able to do it: i have a dataframe with the following two columns: X VAR1 VAR2 1 2 2 1 3 2 4 3 5 4 6 4 what i would like to

Hello, I'm a beginner with R and it's the first time I'm using the R-help list... I hope I'm in the right place, if not: Sorry!! I need to do non linear regressions on a data set which columns are: "river.name" "Portata" "PTG.P" "PO4.P" "NT.N" "NH4.N" "NO3.N" "BOD5" "SiO2"

Dear list, I have a question about the interaction between R code and Latex language trough the Sweave function in the package "utils". What I'm trying to do is to write a report. Contrary to the examples shown in the Sweave Manual in which table already constructed by R are "exported" on Latex files, what I would like to do is to build a table in which I combine text and

Hello, I'm using the following for loop to find regression curves using a list of functions (formList), a list of starting values (startList), uppervalues (upperList) and lower values (lowerList). A sample of the list of function I use in the loop is the following: FormList <- list(PTG.P ~ fz1(Portata, a, b), PTG.P ~ fz2(Portata, a, b), PTG.P ~ fz3(Portata,a, b, d, e), PTG.P ~

Hello, to plot the result of a singular non linear regression (using nls) I usually use the function plotfit, for example: r.PTG.V<-nls(PTG.P~ fz1(Portata, a,b), data=dati, start=list(a=10, b=10), nls.control(maxiter=200), algorithm='port', trace=TRUE, na.action=na.omit, lower=list(a=0, b=10), upper=list(a=100, b=100)) plotfit(r.PTG.V) I tried to use the function plotfit on the

Dear list, in the following loop im generating objects of type table. What I would like to do is to put all those objects together in a list (that i called cc).I did this but the result is not what i espect to get: cc=list() d=1 for (i in data) { cc=list(cc,assign(paste("n",d,sep=""),table(i,subsample$vD31NADD))) d=d+1} I know that this won't work properly: