similar to: need help with ordering of plots

Dear All, I have a data set with variables x1, x2, x3, ..., x20 and I want to create z1, z2, z3, ..., z20 with the following formula: z1 = 200 - x1 z2 = 200 - x2 z3 = 200 - x3 . . . z20 = 200 - x20. I tried using a for loop and its index as: for (i in 1:20) { z(i) = 200 - x(i) } But R gives the following error message: "Error: could not find function "x"". Is there any

> On 15 Sep 2017, at 11:38, yadav neog <yadavneog at gmail.com> wrote: > > hello to all. I am working on macroeconomic data series of India, which in > a yearly basis. I am unable to convert my data frame into time series. > kindly help me. > also using zoo and xts packages. but they take only monthly observations. > > 'data.frame': 30 obs. of 4 variables:

You can just use the same code that I provided before but now use your dataset. Like this df <- read.csv(file="data2.csv",header=TRUE) dates <- as.Date(paste(df$year,"-01-01",sep="")) myXts <- xts(df,order.by=dates) head(myXts) #The last command "head(myXts)" shows you the first few rows of the xts object year cnsm incm wlth

oky.. thank you very much to all of you On Sat, Sep 16, 2017 at 2:06 PM, Eric Berger <ericjberger at gmail.com> wrote: > You can just use the same code that I provided before but now use your > dataset. Like this > > df <- read.csv(file="data2.csv",header=TRUE) > dates <- as.Date(paste(df$year,"-01-01",sep="")) > myXts <-

Assuming the input data.frame, DF, is of the form shown reproducibly in the Note below, to convert the series to zoo or ts: library(zoo) # convert to zoo z <- read.zoo(DF) # convert to ts as.ts(z) # Note: DF <- structure(list(year = c(1980, 1981, 1982, 1983, 1984), cnsm = c(174, 175, 175, 172, 173), incm = c(53.4, 53.7, 53.5, 53.2, 53.3), with = c(60.3, 60.5, 60.2, 60.1, 60.7)),

If I''m gonna use OpenSolaris, I will have to buy new hardware, which I can''t really defend at the moment. But I may be able to defend it in the near future if using redundancy on ZDF uses less disk space as simply getting extra drives and do identical copies, with periodic CRC checks of the source material to check the health. Or will I use as much drive space with redundancy?

hello to all. I am working on macroeconomic data series of India, which in a yearly basis. I am unable to convert my data frame into time series. kindly help me. also using zoo and xts packages. but they take only monthly observations. 'data.frame': 30 obs. of 4 variables: $ year: int 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 ... $ cnsm: num 174 175 175 172 173 ... $ incm:

hi all - quick question: i have a matrix 'y' of response values, with two explanatory variables 'x1' and 'x2'. tested values of 'x1' and 'x2' are sitting in two vectors 'x1' and 'x2'. i want to learn model parameters without "unrolling" the matrix of response values. example below: # some fake data for the example x1 <- 1:5 x2

Dear all, I have tried to modify the code of MASS:::stepAIC.default(), dropterm() and addterm() to use AICc instead of AIC for model selection. The code is appended below. Somehow the calculations are still not correct and I would be grateful if anyone could have a look at what might be wrong with this code... Here is a working example: ## require(nlme) model1=lme(distance ~ age + Sex, data =

thankx to everyone for your valuable suggestions. one query regarding the GARCH model. I have applied the GARCH model for the same data that I send you all . and my results coming like Error in .sgarchfit(spec = spec, data = data, out.sample = out.sample, : ugarchfit-->error: function requires at least 100 data points to run can you suggest something on it. On Fri, Sep 22, 2017 at 6:02

I have NexentaCP2 (Opensolaris b104+). Parameters for the kernel: ''zfs-bootfs=syspool/rootfs-nmu-000,bootpath=/xpvd/xdf@0:a'' Pygrub returns: ''zfs-bootfs=syspool/30,bootpath=/xpvd/xdf@0:a'' Result: Boot with pygrub don''t work. What is "30" in syspool/30 ? _______________________________________________ Xen-users mailing list

Sir, I have hit a the limits of my understanding of text / par / opar etc... I have a few related xts data frames which have multiple columns, and have written a for-loop to make a set of charts - however i do not get any margin text when i run the loop. when i test the code outside of the loop the margin text appears - however when i run the loop the margin text does not appear ... what gives?

Hi All, I am trying to run a loop that will have varying numbers of rows with each output. Previously I have had the same number of rows so I would use (and I appreciate that this will no doubt achieve some gasps as being thoroughly inefficient!): xdfrow<-(0) xdfrow1<-(1:32) xdfrow2<-(33:64) xdfrow3<-(65:96) xdfrow4<-(97:128) xdfrow5<-(129:160) xdfrow6<-(161:192)

Hello All, I have a dataset and I wish to obtain all possible data cuboids from it using R . For eg if my data frame is : A B C 1 1 1 1 2 1 2 2 1 The output intended is : A=1 A=2 B=1 B=2 C=1 A=1,B=1 A=1,B=2 A=2,B=2 A=1,C=1 A=2,C=1 B=1,C=1 B=2,C=1 A=1,B=1,C=1 A=1,B=2,C=1 A=2,B=2,C=1 Are there any function(s) to do this in R ? I tried a combination of expand.grid and

Hi All, I want to add one point to contourplot().  I used contourplot() in my code like contourplot(z ~ a + b |c, data) I understand there is plot.axes argument for filled.contour(), but it  did not work for my code. I also tried plot() and text() for contourplot(), but got this error: "plot.new has not been called yet" Any suggestion for adding a point in contourplot()? Thank you very

Dear list, I would like to expand a DF with all the missing levels of a variable. a <- c(2,2,3,4,5,6,7,8,9) a.cut <- cut(a, breaks=c(0,2,6,9,12), right=FALSE ) (x <- data.frame(a, a.cut)) # In 'x' the level "[0,2)" is "missing". AddMissingLevel <- function(xdf) { xfac <- factor( c("[0,2)", "[2,6)", "[6,9)",

Hello, I've got a problem with a PHP script, in which I call the system function (to call another processes). The call is : system("R --slave --vanilla < path/to/source/source.R"); if in this R file, I've got the lines: pdf(file="/path/to/file/file.pdf") commands dev.off() the pdf file is perfectly created but if I change the lines to:

e.g. a= a b c d e 1 1 1 3 1 1 2 1 2 3 4 5 3 1 3 3 8 3 4 1 4 3 3 5 5 1 1 3 1 1 I want to delete colume a and colume c, because they have the same values in every row, then ,I want to get this data.frame . b= b d e 1 1 1 1 2 2 4 5 3 3 8 3 4 4 3 5 5 1 1 1 the following is my code but it's wrong. rm(list=ls()) a=c(1,1,1,1,1); b=c(1,2,3,4,1); c=c(3,3,3,3,3);

Hi, I was trying to stack a topographic map readed in from esri shapefile with a contour map and a vector map. However, the plotMap(maptools) and contourplot(lattice) do not seem to work well on top of each other. Here is part of my code. xrange<-range(225000:350000) yrange<-range(2685000:2810000) basemap <- read.shape("Twn25_town_dxf_Polygon.shp")

Hi everybody, I want to do a contourplot in lattice with my raw data overlaid on it(xyplot) which seemed to be a very easy thing to do. I've tried it in many ways, but I haven't succeeded at obtaining it. let's say x, y, and z as the variables that comes from the data frame ''ex'': therefore my countourplot is as followed : contourplot(z ~ x * y, cuts=550) I