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
1980-01-01 1980 173.6527 53.3635 60.3013
1981-01-01 1981 175.4613 53.6929 60.4980
1982-01-01 1982 174.5724 53.4890 60.2358
1983-01-01 1983 171.5070 53.2223 60.1047
1984-01-01 1984 173.3462 53.2851 60.6946
1985-01-01 1985 171.7075 53.1596 60.7598


On Sat, Sep 16, 2017 at 9:55 AM, Berend Hasselman <bhh at xs4all.nl> wrote:

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:
$ year: int  1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 ...
$ cnsm: num  174 175 175 172 173 ...
$ incm: num  53.4 53.7 53.5 53.2 53.3 ...
$ wlth: num  60.3 60.5 60.2 60.1 60.7 ...
--

Second try to do what you would like (I hope and think)
Using Eric's sample data

<code>
zdf <- data.frame(year=2001:2010, cnsm=sample(170:180,10,replace=TRUE),
                 incm=rnorm(10,53,1), wlth=rnorm(10,60,1))
zdf

# R ts
zts <- ts(zdf[,-1], start=zdf[1,"year"])
zts

# turn data into a zoo timeseries and an xts timeseries

library(zoo)
z.zoo <- as.zoo(zts)
z.zoo

library(xts)
z.xts <- as.xts(zts)
z.xts
</code>

Berend Hasselman

Yadawananda Neog
Research Scholar
Department of Economics
Banaras Hindu University
Mob. 9838545073

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