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2017 Sep 20
1
Convert data into zoo object using Performance analytics package
Dear Sir, Thanks for your mail and help. I got this error while trying to run your code. sbux1.z <- read.csv.zoo(u, FUN = as.yearmon, format = fmt) Error in read.table(file = file, header = header, sep = sep, quote = quote, : 'file' must be a character string or connection Thanks and Regards, Upananda Pani On Tue, Sep 19, 2017 at 4:31 PM, Upananda Pani <upananda.pani at gm...
2017 Sep 20
0
Convert data into zoo object using Performance analytics package
...dieck <ggrothendieck at gmail.com> > Cc: r-help <r-help at r-project.org> > Subject: Re: [R] Convert data into zoo object using Performance analytics > package > > Dear Sir, > > Thanks for your mail and help. I got this error while trying to run your code. > > sbux1.z <- read.csv.zoo(u, FUN = as.yearmon, format = fmt) Error in > read.table(file = file, header = header, sep = sep, quote = quote, > : > 'file' must be a character string or connection > > Thanks and Regards, > Upananda Pani > > On Tue, Sep 19, 2017 at 4:31 PM,...
2017 Sep 22
1
Convert data into zoo object using Performance analytics package
...Cc: r-help <r-help at r-project.org> > > Subject: Re: [R] Convert data into zoo object using Performance analytics > > package > > > > Dear Sir, > > > > Thanks for your mail and help. I got this error while trying to run your > code. > > > > sbux1.z <- read.csv.zoo(u, FUN = as.yearmon, format = fmt) Error in > > read.table(file = file, header = header, sep = sep, quote = quote, > > : > > 'file' must be a character string or connection > > > > Thanks and Regards, > > Upananda Pani > > &g...
2017 Sep 18
3
Convert data into zoo object using Performance analytics package
Dear All, While i am trying convert data frame object to zoo object I am getting numeric(0) error in performance analytics package. The source code i am using from this website to learn r in finance: https://faculty.washington.edu/ezivot/econ424/returnCalculations.r # create zoo objects from data.frame objects dates.sbux = as.yearmon(sbux.df$Date, format="%m/%d/%Y") dates.msft =