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Hi all, hope someone can help me out with this. Background Introduction I have a data set consisting of data collected from a questionnaire that I wish to validate. I have chosen to use confirmatory factor analysis to analyse this data set. Instrument The instrument consists of 11 subscales. There is a total of 68 items in the 11 subscales. Each item is scored on an integer scale between 1 to 4.

...st likely hit and trial method based on lower AIC value. I want to know what is the correct way to find model order components or the method described in [1] is the appropriate one. thanks in advance. -- [1]Automatic Time Series Forecasting: The forecast Package for R (http://www.jstatsoft.org/v27/i03)

Thanks people! another question, is there something similar to sort for dates? sort(x, decreasing = FALSE, ...) On Tue, Dec 13, 2011 at 8:34 AM, Jorge I Velez <jorgeivanvelez at gmail.com> wrote: > Hi Ana, > > Check section 4 of?http://www.jstatsoft.org/v40/i03/paper for more > alternatives. > > HTH, > Jorge.- > > > On Mon, Dec 12, 2011 at 9:39 PM, Ana <> wrote: >> >> How do I sum 15 years to my dataset? >> >> original dataset >> ? ? ? ? dates ? ? ? ?val >> 1 ? ?2001-01-12 ? ?1.2 >> 2 ?...

Hi, I?m using the R package stats for some analysis, I would like to know if there is any special reference paper to cite this package or just the R paper itself. Thank you very much for your answer, Iriel Joerin [[alternative HTML version deleted]]

...l with convergence problems for simple cases. o the documentation file has been improved (thanks to Achim Zeilis for comments). o a package vignette has been added. o a paper describing the package in detail has been published in the Journal of Statistical Software: http://www.jstatsoft.org/v29/i03. Abstract: This paper presents the R package AdMit which provides functions to approximate and sample from a certain target distribution given only a kernel of the target density function. The core algorithm consists in the function AdMit which fits an adaptive mixture of Student-t distributions t...

...l with convergence problems for simple cases. o the documentation file has been improved (thanks to Achim Zeilis for comments). o a package vignette has been added. o a paper describing the package in detail has been published in the Journal of Statistical Software: http://www.jstatsoft.org/v29/i03. Abstract: This paper presents the R package AdMit which provides functions to approximate and sample from a certain target distribution given only a kernel of the target density function. The core algorithm consists in the function AdMit which fits an adaptive mixture of Student-t distributions t...

Hello, I want to start testing using the MNP probit function in stead of the lrm function in my current experiment. I have one dependant label and two independent varaibles. The lrm is simple model <- lrm(label ~ val1 + val2) I tried the same thing with the mnp function and got an error that I don't understand model <- mnp(label ~ val1 + val2) I get back an immediate error that

I use mnp to run a multinominal probit regression model, but the summary doesn't contain the model statistics, such as the log-likelihood and degree of freedom, for the assessment of the goodness-of-fit of the fitted model. Is there any way that I can generate these statistics for the fitted model in R? Many thanks in advance! SC

I am using AUTO ARIMA for forecasting. But it is not detecting 'seasonality term' of its own for any data. Is there any other method by which we can detect seasonality and its frequency for any data? Is there any method through which seasonality and its frequency can be automatically detected from ACF plot? -- Siddharth Arun, 4th Year Undergraduate student Industrial Engineering and

How do I sum 15 years to my dataset? original dataset dates val 1 2001-01-12 1.2 2 2001-02-12 1.2 3 2001-03-12 1.2 result dates val 1 2016-01-12 1.2 2 2016-02-12 1.2 3 2016-03-12 1.2

Hi, I wanted to learn how to solve a date and time manipulation where i can do the following two 1. difference of two dates eg (differnce between 5th jan 2013 and 1st jan 2013) 2.Suppose i have week number of the year, i want to know if i can find out the day it refers to eg( say week 2 of 2013 would be 6th jan 2013 and the day is sunday) i need my result to tell me that its

Hi everyone, I currently do some statistics about my heart rate variability. I've a CSV file which looks like this: Date Time ts_mean_RR ts_sdnn_RR ts_mean_HR ts_sdnn_HR ts_rmssd 1 20110905 07:21:50.0 1139.8298 40.3053 52.7393 2.2824 45.7958 2 20110906 07:11:37.0 1182.7333 49.1861 50.8665 2.4983 60.2329 3 20110907 07:21:31.0 1136.6028 49.4682 52.9566

Hola a todos/as: Tengo una curiosidad: ¿existe una función en R que devuelva el nº de horas a partir del nº de años?. Se trataría de computar cada año con 6 horas extra sobre las 365, para así "prorratear" las 24 horas del año bisiesto. El cálculo es sencillo de hacer, lógicamente, pero me pregunto si hay algo hecho al respecto... Gracias. Eva [[alternative HTML version deleted]]

All- I am interested in estimating a parameter that is the starting value for an ODE model. That is, in the typical combined fitting procedure using nls and lsoda (alternatively rk4), I first defined the ODE model: minmod <- function(t, y, parms) { G <- y[1] X <- y[2] with(as.list(parms),{ I_t <- approx(time, I.input, t)$y dG <- -1*(p1 + X)*G +p1*G_b dX <-

*Hola!!! resulta que tengo unos datos de divisas ordenados por fechas (días) los que he convertido a formato tipo YYYY-MM-DD donde DD siempre es 01:* * * * EUR.resto$date<-as.Date(EUR.resto$date) EUR.resto$mo <- substr(EUR.resto$date,6,7) EUR.resto$yr <- substr(EUR.resto$date, 1,4)

Hi All, I've been having a little trouble with creating a loop that will run a a series of t.tests for inspection, Below is the code i've tried, and some checks i've looked at. I've used the get(paste()) idea as i was told previously that the use of the eval should try and be avoided. I've run a single syntax to check that my systax is correct and works without any problems