similar to: Time-series moving average question

You are right that there are no NAs in the practice data. But there are NAs in the moving average data. To see this, break your work into two separate steps, like this: tnr.ma <- ma(dat3[1:28], order=3) TNR_moving_average <- forecast(tnr.ma, h=8) I think you will find that the warning comes from the second step. Print tnr.ma and you will see some NAs. -Don -- Don MacQueen Lawrence

Hi Don, wow, you are so right. I picked that piece up from the bloggers tutorial and since I am R naive yet, I thought it was all one step moving_average = forecast(ma(tdat[1:31], order=2), h=5) Truly, I usually print and check at every step I can, as painful as it is sometimes. Great lesson for this novice usR. So the first and last values are NA in each case? Do you know why? Should I replace

Good morning, I hope someone can help with these questions, or perhaps suggest one of the other R-lists? I have two questions: 1. Why am I getting this warning? 2. Why is the second example "Point Forecast" the same value, I do not see that in previous attempts with similar but different data sets as in example 1? Example1: dat3 <- structure(c(3539122.86, 3081383.87,

Hello Don, thank you for your response. I appreciate your help. I am using the forecast package, originally I found it following a forecasting example on bloggers.com https://www.r-bloggers.com/time-series-analysis-using-r-forecast-package/ And subsequently located the complete pdf https://cran.r-project.org/web/packages/forecast/forecast.pdf Since I created this practice data using the

Instead of Tsp = c(2016, 2018, 12) try Tsp = c(2016, 2018.25, 12) Hence, you can specify the object as structure(c(5973156.76, 5159011.2, 6695766.64, 6365359, 6495218.53, 7226302.39, 6835272.7, 7383501.57, 6962748.19, 7623278.72, 7274994.33, 7919421.8, 7360740.81, 7436693.35, 8545765.55, 7337269.76, 8180585.44, 8376635.05, 7758261.24, 10374641.22, 8000314.11, 9114958.9, 9805149.15,

Hi. I am trying to follow this forecasting tutorial at: https://www.r-bloggers.com/basic-forecasting/ Using my own data, I cannot get past the first step, lots of laughs. dat3 <- structure(c(5973156.76, 5159011.20, 6695766.64, 6365359.00, 6495218.53, 7226302.39, 6835272.70, 7383501.57, 6962748.19, 7623278.72, 7274994.33 ,7919421.80, 7360740.81, 7436693.35,

... and see also ?print.data.frame , the "digits" argument. See also ?str It might be worth your while spending time with an R tutorial or two that covers such topics, i.e. distinguishing between an object and various (S3) methods that "represent" it, such as print(), summary(), plot() etc. -- Bert Bert Gunter "The trouble with having an open mind is that people keep

Hi, Novice UsR here. I have a csv file that contains 13 columns of numeric data that have decimal places (for the most part). After reading in the file RevFCast = read.csv("RevAnalysisNov2016_April2018.csv", header=TRUE, dec = ".", stringsAsFactors=FALSE) and viewing the data View(RevFCast) Some of the fields came in with the correct decimals and some not? The view in R:

The stored numbers are correct. They are rounded on printing. print(RevFCast, digits=17) See ?options And scroll down to digits. On Mon, May 7, 2018 at 11:50 Bill Poling <Bill.Poling at zelis.com> wrote: > Hi, Novice UsR here. > > I have a csv file that contains 13 columns of numeric data that have > decimal places (for the most part). > > After reading in the file >

It looks like you made a copy/paste error below. Your ata.frame should be data.frame. Kevin On 05/04/2018 08:18 AM, Bill Poling wrote: > Good morning. > > Novice usR. Here. > > I am following this string, among many, learning as I go. > > Quick question please? > > I thought that perhaps ata.frame was part of the zoo pkg, b/c when I > searched it came up in

Good morning. Novice usR. Here. I am following this string, among many, learning as I go. Quick question please? I thought that perhaps ata.frame was part of the zoo pkg, b/c when I searched it came up in help? However, evidently not or I am not using it properly. Please advise, thank you. x <- list(A=data.frame(x=1:2, y=3:4),B=data.frame(x=5:6,y=7:8)) x2 <- do.call(rbind,

Dear All, I am trying to use the function ses from the forecast package. >From its help I have : Usage: ses(y, h = 10, level = c(80, 95), fan = FALSE, initial = c("optimal", "simple"), alpha = NULL, lambda = NULL, biasadj = FALSE, x = y, ...) My query is that if I do not mention the initial value will its default value be "optimal". A MWE would be

The first one, i.e. "optimal"; check help for match.arg() for the idiom. -pd > On 2 Oct 2017, at 11:48 , Ashim Kapoor <ashimkapoor at gmail.com> wrote: > > Dear All, > > I am trying to use the function ses from the forecast package. > > From its help I have : > > Usage: > > ses(y, h = 10, level = c(80, 95), fan = FALSE, initial =

Hi Kevin, There is probably a better way, but it can be done in two steps like this temp <- list(A=data.frame(x=1:2, y=3:4),B=data.frame(x=5:6,y=7:8)) temp <- lapply(names(temp), function(n, temp) { temp[[n]]$type <- n return(temp[[n]]) }, temp = temp) do.call(rbind, temp) On Wed, May 2, 2018 at 1:11 PM, Kevin E. Thorpe <kevin.thorpe at utoronto.ca> wrote: > I suspect

Hi all, I''m fighting with an error message right now, that I don''t understand: puppetmasterd[16269]: Could not write report for steinbeck.tnr.dk at /var/lib/puppet/reports/steinbeck.tnr.dk/200801311728.yaml: Too many open files But an output from lsof states that there is only ~5500 files open - not reaching any max I know of. Anyone else experiencing this...? -- Med

hi... i am a phd student using r. i am having difficulty plotting average effects. admittedly, i am not really understanding what each of the commands mean so when i get the error i am not sure where the issue is. here is my code... i will include the points at which there are errors.... > dat2 <- dat3 <- dat > dat2$popc100 <- dat2$popc100 + 1000 >

Hi. I have had this URL passed to me in order to obtain the necessary driver to connect my R application to our Teradata warehouse, however, the URL does not seem to exist anymore, my internet explorer browser fails to connect for some reason. http://downloads.teradata.com/download/applications/teradata-r/1.0 Is there an alternative site or location for obtaining the necessary driver? Thanks

I want to use double-exponential smoothing to forecast time series datas,but I couldn't find it in the document,does R support this method?

Good day all, I'm trying to plot a continuous line plot, which is followed by two forecast points eg. one forecast point is 12 months out, and another 24 months out from the last date of the line plot. In my attempts so far, the second plot (the forecast points) is scaled against a new axis scale, thus the two plots are not directly comparable (I need the forecast points to be scaled

I have a large Excel file with SKU numbers (stock keeping units) and forecasts which can be mimicked with the following: Period <- c(1, 2, 3, 1, 2, 3, 4, 1, 2) SKU <- c("A1","A1","A1","X4","X4","X4","X4","K2","K2") Forecast <- c(99, 103, 128, 63, 69, 72, 75, 207, 201) PeriodSKUForecast <-