search for: myxts

...of different length > #... fix the 6 vectors to have equal length > mylist[1:2] <- lapply(mylist[1:2], as.yearmon) # Convert the first two elements into yearmon class > #... Now try one of the following; tindex is the time index in yearmon format > myxts <- as.xts(as.data.frame(mylist), order.by=tindex) # this makes columns 3-6 of myxts all have class = character > myxts <- as.xts(matrix(unlist(mylist), ncol=6), order.by=tindex) # this makes myxts entirely numeric I even tried using the following statement afte...

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...

...c 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 <- 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 > 1982-0...

...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 <- 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...

...m using XTS of length of minimum 120k elements. My problem is that I cannot display the vector (otherwise R crashes), I cannot plot it either (otherwise R crashes). That could be solved by reducing the amount of points. However, I have been performing some statistical opreations on is and even sd(myXTS) crashes R. By "crashes", I mean shuts down without any warning whatsoever. I use R 2.11.1 (64). Has anyone had the same kind of problem? Can we solve this? Best, -- Jeremie [[alternative HTML version deleted]]

...onsiders them a string. thee data read in "d" is a data.frame: > str(d) 'data.frame': 248 obs. of 4 variables: However, converting to an XTS seems to break that. Example: ============================================= d <- (read.csv(file.path(dataDir,thisFile), as.is=T)) myXTS <- as.xts( d, order.by=as.POSIXct(strptime(paste(d$Date, d$Time), '%m/%d/%y %H:%M'))) head(d) Date Obsever Val.1 Time 1 10/12/09 PL 15 12:44 2 10/12/09 PL 15 12:44 head(myXTS) Date Obsever Val.1...

> 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 > >> 1980-01-01 1980 173.6527 53.3635 60.3013 &gt...

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: