similar to: read.csv and Decimal places

Displaying 6 results from an estimated 6 matches similar to: "read.csv and Decimal places"

2018 May 07
0
read.csv and Decimal places
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 >
2018 May 07
1
read.csv and Decimal places
... 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
2018 May 15
3
Forecasting tutorial "Basic Forecasting"
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,
2018 May 15
0
Forecasting tutorial "Basic Forecasting"
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,
2018 Jun 01
0
Time-series moving average question
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,
2018 Jun 01
2
Time-series moving average question
My guess would be that if you inspect the output from ma(dat3[1:28], order=3) you will find some NAs in it. And then forecast() doesn't like NAs. But I can't check, because I can't find the ma() and forecast() functions. I assume they come from some package you installed; it would be helpful to say which package. -Don -- Don MacQueen Lawrence Livermore National Laboratory 7000