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Results tagged with r
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user 29149
Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
4
votes
2
answers
3k
views
df missing in R output of chi-square- test?
I performed a chi-square goodness-of-fit test with R, which uses simulation of the p-value:
x<-c(0.16*260,0.48*260,0.31*260,0.05*260,0)
chisq.test(x, p=c(0.25,0.25,0.3,0.11,0.09),simulate.p.value = TRUE … The documentation at
http://stat.ethz.ch/R-manual/R-patched/library/stats/html/chisq.test.html
does not mention the df-related output.
Any similar experience with R packages? …
- 303
1
vote
0
answers
111
views
Bootstrapping versus formula-based forecast intervals - wrong approach?
I've implemented a comparison between the performance of 80%-forecast intervals is in the forecast package - see 1st part of the code below providing a number of hits
This number states, how many time …
- 303
1
vote
1
answer
258
views
Starting-point of time-series influences regression?
I've used tslm() under the R-package fpp to analyse two time series, which seem similar:
library(fpp)
a<-ts(c(1,10,2,3,4,5,6,7,8,9,10,11,12,2,21,4,6,8,10,11,12,13,14,18), start = c(1959, 1), frequency …
- 303
0
votes
2
answers
9k
views
arguments of length zero error with very similar code while forecasting
When I forecast from a linear Regression model in R using the following code, I get an
arguments of length zero error , which I understand as a null pointer:
library(forecast)
Mwh = c(16.3,16.8,15.5,18.2,15.2,17.5,19.8,19.0,17.5,16.0,19.6,18.0 …
- 303
0
votes
arguments of length zero error with very similar code while forecasting
I took a look at the results of the debugger of the forecast()-function digesting "t" and "d" from the above discussion. Moreover, I asked Rob Hyndman as the author of forecast() for help. The problem …
- 303
0
votes
Forecasting daily visits using ARIMA with external regressors
An answer without testing/p-values, but with roughly estimating confidence intervals: Adding twice the s.e. (Standard error) on your coefficients should give you approximately 95%-confidence intervals …
- 303