search for: cnsm

...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]]

.... 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, Be...

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)), .Names = c("year", "cnsm", "incm", "with"), row.names = c(NA, -5L), class = "data.frame") On Sat, Sep 16, 2017 at 8:10 AM, yadav neo...

...e="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 > &g...

...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,replac...

...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....

...e 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)), .Names = c("year", > "cnsm", "incm", "with"), row.names = c(NA, -5L), class = "data.frame") > > > On Sat, Sep 16...

...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...