similar to: require help

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

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)),

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 <-

> 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:

> On 15 Sep 2017, at 12:38, 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. Do you really need to convert your data to time series/xts/zoo? I don?t know you try what kind of an analysis but perhaps you don?t have to. > kindly

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

> 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:

thank you for your valuable reply. I have attached my commands, results, and data with this mail..maybe it will be beneficial for you to feedback. On Tue, Nov 21, 2017 at 9:13 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > Your example is incomplete... as the bottom of this and every post says, > we need to be able to proceed from an empty R environment to wherever you

I am working on Johansen cointegration test, using urca and var package. in the selection of var, I have got following results. >VARselect(newd, lag.max = 10,type = "none") $selection AIC(n) HQ(n) SC(n) FPE(n) 6 6 6 5 $criteria 1 2 3 4 5 6 7 8 9 AIC(n) -3.818646e+01 -3.864064e+01

Respected sir, hoping that you are well.sir, i am trying to run Tado-Yamamoto causality test with my data. I have three variables. but in running wal.test in R, I have faced problems (especially in 'terms' arguments). my results have shown as... Error in L %*% V : non-conformable arguments -- kindly help me in solving this issue. I have also attached my codes and data to this email.

Your example is incomplete... as the bottom of this and every post says, we need to be able to proceed from an empty R environment to wherever you are having the problem (reproducible), in as few steps as possible (minimal). The example needs to include data, preferably in R syntax as the dput function creates... see the howtos referenced below for help with that. [1], [2], [3] You also need to

dear members, I want to run Toda Yamamoto causal test in my data. I have gone through the some of the examples. but unable to understand wald.test. especially the 'term' argument. kindly help me in understand wald.test ?? -- Yadawananda Neog Research Scholar Department of Economics Banaras Hindu University Mob. 9838545073 [[alternative HTML version deleted]]

hi, I am using R's "kernlab" package, exactly i am doing classification using ksvm(.) and predict.ksvm(.).I want use of custom kernel. I am getting some error. # Following R code works (with promotergene dataset): library("kernlab") s <- function(x, y) { sum((x*y)^1.25) } class(s) <- "kernel" data("promotergene") gene <- ksvm(Class ~ .,

Does anybody knows what this error message means: Error in object$terms : $ operator not defined for this S4 class I have peformed the following steps: > library(lattice) > library(Matrix) > library(lme4) > inkm inkm$Gamie glm.incm drop1(glm.incm,test="Ch") Error in object$terms : $ operator not defined for this S4 class Your suggestin would be of a greatl help to

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

I want to do a series of contour plots, 4 in all. The data is coming from a data frame named "nd.frame", which has elements "xdf", "ydf", "zdf", and "pndt". I am treating "pndt" as a factor, and it has four levels. I make a call to the lattice graphics routine "contourplot" like so:

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

I've written a function that takes some input data output from a simulation model and creates some graphs. It's not very complicated code, and it works perfectly fine if I just run the code as is. But I have converted it into a function so we call it externally, and when I try to source the code to test the function, I get the error message "variable names are limited to 256

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?

Hey guys, I'm trying to disable ZTS in php, because an application we need (AppDynamics) is not compatible with it. So I tried compiling php with the following flags: php -i | grep configure Configure Command => './configure' '--with-apxs2=/opt/apache2/bin/apxs' '--with-zlib=/usr' '--prefix=/opt/php-5.6.8' '--with-libdir=lib64'