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 ... -- Yadawananda Neog Research Scholar Department of Economics Banaras Hindu University Mob. 9838545073 [[alternative HTML version deleted]]
You did not provide the data frame so I will first create one and then use it to create an xts library(xts) df <- data.frame( year=1980:2009, cnsm=sample(170:180,30,replace=TRUE), incm=rnorm(30,53,1), wlth=rnorm(30,60,1)) dates <- as.Date(paste(df$year,"-01-01",sep="")) myXts <- xts(df,order.by=dates) On Fri, Sep 15, 2017 at 12:38 PM, 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 ... > -- > Yadawananda Neog > Research Scholar > Department of Economics > Banaras Hindu University > Mob. 9838545073 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/ > posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]
> 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 help me. > also using zoo and xts packages. but they take only monthly observations.If you really have to convert to xts/zoo, why don?t yo set each year to first day of January and use it as is? For instance, index, cnsm, incm, wlth 1980-01-01, 174, 53.4, 60.3 1981-01-01, 175, 53.7, 60.5 1982-01-01, 175, 53.5, 60.2 ?..> > '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 ... > -- > Yadawananda Neog > Research Scholar > Department of Economics > Banaras Hindu University > Mob. 9838545073 >
thanks, eric../ actually I have the data which have not specify the months. therefore i bound to declare is in yearly data. i also attached a sample data set that may be helpful for you to providing suggestions. thank you On Fri, Sep 15, 2017 at 5:23 PM, Ismail SEZEN <sezenismail at gmail.com> wrote:> > > 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 help me. > > also using zoo and xts packages. but they take only monthly observations. > > If you really have to convert to xts/zoo, why don?t yo set each year to > first day of January and use it as is? For instance, > > index, cnsm, incm, wlth > 1980-01-01, 174, 53.4, 60.3 > 1981-01-01, 175, 53.7, 60.5 > 1982-01-01, 175, 53.5, 60.2 > ?.. > > > > > '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 ... > > -- > > Yadawananda Neog > > Research Scholar > > Department of Economics > > Banaras Hindu University > > Mob. 9838545073 > > > >-- Yadawananda Neog Research Scholar Department of Economics Banaras Hindu University Mob. 9838545073
> 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 ...It shouldn't be difficult. Example: tsdata <- data.frame(year=c(2000,2002,2003), x=c(1,2,3),y=c(10,11,12)) xy.ts <- as.ts(tsdata) library(zoo) as.zoo(xy.ts) Berend Hasselman> $ wlth: num 60.3 60.5 60.2 60.1 60.7 ... > -- > Yadawananda Neog > Research Scholar > Department of Economics > Banaras Hindu University > Mob. 9838545073 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
> On 15 Sep 2017, at 16:35, 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 ... > > > It shouldn't be difficult. > Example: > > tsdata <- data.frame(year=c(2000,2002,2003), x=c(1,2,3),y=c(10,11,12)) > xy.ts <- as.ts(tsdata) > > library(zoo) > > as.zoo(xy.ts)Ignore my suggestion. Doesn't do what you need. Berend
> 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 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
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 > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/ > posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/ > posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]