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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`.
0
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0
answers
24
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how do you calculate CI in R and explain the method? [duplicate]
I am trying to perform prediction using R with confidence interval:
mod <- glm(y ~ x, data = foo, family = binomial)
preddata <- with(foo, data.frame(x = seq(min(x), max(x), length = 100))
preds <- predict …
1
vote
0
answers
209
views
How do you build dynamic linear models based on very frequent time series data?
I like to be able to use dynamic linear modelling (DLM) on a time series data to perform forecast. I am currently using lm function but I like explore dlm to see the difference. My data looks like thi …
1
vote
1
answer
5k
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how do you determine the growth rate in from the linear model? [duplicate]
2e-16 ***
TimePeriod 1.134e-05 4.041e-07 28.07 <2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 29.77 on 2514 degrees of freedom
Multiple R-squared … : 0.2386, Adjusted R-squared: 0.2383
F-statistic: 788 on 1 and 2514 DF, p-value: < 2.2e-16
Would it be fair to assume that growth rate of cpubusy is equal to R-squared: 0.2386? …
3
votes
1
answer
1k
views
What is the best forecasting model for time series data?
I have a time series data (1 minute and sometimes 5 minute data) data I would like use forecasting package to forecast couple hours ahead.
Here is my data:
dput(head(p,20))
structure(list(time = str …
4
votes
1
answer
9k
views
How to forecast hourly data in R
I have hourly login data for a web site. Certain hours of the day for example between 09:00 and 12:00, there are heavy traffic on the site. I would like to forecast the hourly data for about one year. …
2
votes
1
answer
1k
views
Using and understanding the zelig package in R
Is any one here familiar with an R package called Zelig?
I have a data frame like this:
IQ AGE
80 50
100 18
90 25
etc. …