I have these R code: ########################################################################### time.test.data<-c(2.88645418326693, 2.91546949823027, 2.94130799329234, 2.93313338038109, 2.89478957915832, 2.86029757243540, 2.78648486664669, 2.80183167535133, 2.75435512226307, 2.78992352676563, 2.76028433151845, 2.68741721854305, 2.70691974293828, 2.683833847881, 2.65041551246537, 2.65169020111254, 2.58837541686517, 2.66549241844080, 2.58451314648945, 2.60250871080139, 2.61253722876188, 2.59921041087878, 2.71727961060032, 2.65440192667915, 2.74799149338374, 2.70649994101687, 2.80636027009366, 2.81801086502298, 2.82555635319454, 2.87133347201997, 2.75746714456392, 2.7660659236424, 2.71688375522241, 2.72655367231638, 2.72461997828447, 2.78455790784558, 2.71160702495708, 2.65754456439869, 2.85673280918507, 2.7053919591233, 2.7532637075718, 2.74272237196766, 2.75893306492199, 2.62584686181772, 2.75230602278893, 2.82781018027572, 2.80220656652931, 2.80242587601078, 2.84061953534849, 2.87123514783089, 2.76991605276683, 2.77796934865900) library(forecast) auto.arima(ts(time.test.data, start=c(2011,1), frequency=52)) ########################################################################### I obtain the error message: Error in SD.test(x, m) : Insufficient data What is wrong? jj
library(forecast): Error in SD.test(x, m) : Insufficient data
4 messages · Jean Jacques Dureau, Rainer Hurling
On 08.02.2012 15:35 (UTC+1), Jean Jacques Dureau wrote:
I have these R code: ########################################################################### time.test.data<-c(2.88645418326693, 2.91546949823027, 2.94130799329234, 2.93313338038109, 2.89478957915832, 2.86029757243540, 2.78648486664669, 2.80183167535133, 2.75435512226307, 2.78992352676563, 2.76028433151845, 2.68741721854305, 2.70691974293828, 2.683833847881, 2.65041551246537, 2.65169020111254, 2.58837541686517, 2.66549241844080, 2.58451314648945, 2.60250871080139, 2.61253722876188, 2.59921041087878, 2.71727961060032, 2.65440192667915, 2.74799149338374, 2.70649994101687, 2.80636027009366, 2.81801086502298, 2.82555635319454, 2.87133347201997, 2.75746714456392, 2.7660659236424, 2.71688375522241, 2.72655367231638, 2.72461997828447, 2.78455790784558, 2.71160702495708, 2.65754456439869, 2.85673280918507, 2.7053919591233, 2.7532637075718, 2.74272237196766, 2.75893306492199, 2.62584686181772, 2.75230602278893, 2.82781018027572, 2.80220656652931, 2.80242587601078, 2.84061953534849, 2.87123514783089, 2.76991605276683, 2.77796934865900) library(forecast) auto.arima(ts(time.test.data, start=c(2011,1), frequency=52)) ###########################################################################
This looks good to me, I got no error:
auto.arima(ts(time.test.data, start=c(2011,1), frequency=52))
Series: ts(time.test.data, start = c(2011, 1), frequency = 52)
ARIMA(2,0,2) with non-zero mean
Coefficients:
ar1 ar2 ma1 ma2 intercept
1.4540 -0.5762 -1.0235 0.5484 2.7569
s.e. 0.3351 0.3194 0.3240 0.1902 0.0328
sigma^2 estimated as 0.003059: log likelihood=76.05
AIC=-140.09 AICc=-138.23 BIC=-128.38
So perhaps something is wrong with your data object or with your
dependend packages?
I obtain the error message: Error in SD.test(x, m) : Insufficient data What is wrong? jj
Hi rainer, how can I control dependend packages? thanks jj Il 08 febbraio 2012 17:10, Rainer Hurling <rhurlin at gwdg.de> ha scritto:
On 08.02.2012 15:35 (UTC+1), Jean Jacques Dureau wrote:
I have these R code: ########################################################################### time.test.data<-c(2.88645418326693, 2.91546949823027, 2.94130799329234, ? 2.93313338038109, 2.89478957915832, 2.86029757243540, 2.78648486664669, ? 2.80183167535133, 2.75435512226307, 2.78992352676563, 2.76028433151845, ? 2.68741721854305, 2.70691974293828, 2.683833847881, 2.65041551246537, ? 2.65169020111254, 2.58837541686517, 2.66549241844080, 2.58451314648945, ? 2.60250871080139, 2.61253722876188, 2.59921041087878, 2.71727961060032, ? 2.65440192667915, 2.74799149338374, 2.70649994101687, 2.80636027009366, ? 2.81801086502298, 2.82555635319454, 2.87133347201997, 2.75746714456392, ? 2.7660659236424, 2.71688375522241, 2.72655367231638, 2.72461997828447, ? 2.78455790784558, 2.71160702495708, 2.65754456439869, 2.85673280918507, ? 2.7053919591233, 2.7532637075718, 2.74272237196766, 2.75893306492199, ? 2.62584686181772, 2.75230602278893, 2.82781018027572, 2.80220656652931, ? 2.80242587601078, 2.84061953534849, 2.87123514783089, 2.76991605276683, ? 2.77796934865900) library(forecast) auto.arima(ts(time.test.data, start=c(2011,1), frequency=52)) ###########################################################################
This looks good to me, I got no error: auto.arima(ts(time.test.data, start=c(2011,1), frequency=52)) Series: ts(time.test.data, start = c(2011, 1), frequency = 52) ARIMA(2,0,2) with non-zero mean Coefficients: ? ? ? ? ar1 ? ? ?ar2 ? ? ?ma1 ? ? ma2 ?intercept ? ? ?1.4540 ?-0.5762 ?-1.0235 ?0.5484 ? ? 2.7569 s.e. ?0.3351 ? 0.3194 ? 0.3240 ?0.1902 ? ? 0.0328 sigma^2 estimated as 0.003059: ?log likelihood=76.05 AIC=-140.09 ? AICc=-138.23 ? BIC=-128.38 So perhaps something is wrong with your data object or with your dependend packages?
I obtain the error message: Error in SD.test(x, m) : Insufficient data What is wrong? jj
On 08.02.2012 17:19 (UTC+1), Jean Jacques Dureau wrote:
Hi rainer, how can I control dependend packages?
You did not tell us very much about your installation and versions of packages you are using. On my system sessionInfo() gives me the following after loading your example: sessionInfo() R Under development (unstable) (2012-02-07 r58290) Platform: amd64-portbld-freebsd10.0 (64-bit) locale: [1] de_DE.ISO8859-15/de_DE.ISO8859-15/de_DE.ISO8859-15/C/de_DE.ISO8859-15/de_DE.ISO8859-15 attached base packages: [1] parallel stats graphics grDevices utils datasets methods base other attached packages: [1] forecast_3.17 RcppArmadillo_0.2.34 Rcpp_0.9.9 fracdiff_1.4-0 [5] tseries_0.10-27 zoo_1.7-6 quadprog_1.5-4 loaded via a namespace (and not attached): [1] grid_2.15.0 lattice_0.20-0 Here you can see, that package forecast uses other packages like RcppArmadillo, Rcpp, fracdiff and others. If your dataset 'time.test.data' is ok, there is a (little) chance, that there are some not updated packages used by forecast. But I am for sure not an expert on this. Perhaps someone else has an idea? Rainer
thanks jj Il 08 febbraio 2012 17:10, Rainer Hurling<rhurlin at gwdg.de> ha scritto:
On 08.02.2012 15:35 (UTC+1), Jean Jacques Dureau wrote:
I have these R code: ########################################################################### time.test.data<-c(2.88645418326693, 2.91546949823027, 2.94130799329234, 2.93313338038109, 2.89478957915832, 2.86029757243540, 2.78648486664669, 2.80183167535133, 2.75435512226307, 2.78992352676563, 2.76028433151845, 2.68741721854305, 2.70691974293828, 2.683833847881, 2.65041551246537, 2.65169020111254, 2.58837541686517, 2.66549241844080, 2.58451314648945, 2.60250871080139, 2.61253722876188, 2.59921041087878, 2.71727961060032, 2.65440192667915, 2.74799149338374, 2.70649994101687, 2.80636027009366, 2.81801086502298, 2.82555635319454, 2.87133347201997, 2.75746714456392, 2.7660659236424, 2.71688375522241, 2.72655367231638, 2.72461997828447, 2.78455790784558, 2.71160702495708, 2.65754456439869, 2.85673280918507, 2.7053919591233, 2.7532637075718, 2.74272237196766, 2.75893306492199, 2.62584686181772, 2.75230602278893, 2.82781018027572, 2.80220656652931, 2.80242587601078, 2.84061953534849, 2.87123514783089, 2.76991605276683, 2.77796934865900) library(forecast) auto.arima(ts(time.test.data, start=c(2011,1), frequency=52)) ###########################################################################
This looks good to me, I got no error:
auto.arima(ts(time.test.data, start=c(2011,1), frequency=52))
Series: ts(time.test.data, start = c(2011, 1), frequency = 52)
ARIMA(2,0,2) with non-zero mean
Coefficients:
ar1 ar2 ma1 ma2 intercept
1.4540 -0.5762 -1.0235 0.5484 2.7569
s.e. 0.3351 0.3194 0.3240 0.1902 0.0328
sigma^2 estimated as 0.003059: log likelihood=76.05
AIC=-140.09 AICc=-138.23 BIC=-128.38
So perhaps something is wrong with your data object or with your dependend
packages?
I obtain the error message: Error in SD.test(x, m) : Insufficient data What is wrong? jj