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Results tagged with r
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user 179
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`.
3
votes
How to assess predictive power of set of categorical predictors of a binary outcome? Calcula...
For an R introduction to these methods, see Quick-R's Tree-based model page. …
- 4,997
6
votes
Accepted
What method is used to calculate confidence intervals in R's MASS package function confint.glm?
To summarise the above comments for posterity, the confidence interval is known as the "profile likelihood confidence interval".
An explanation of the method is given by Stryhn and Christensen, and …
- 4,997
9
votes
2
answers
4k
views
What method is used to calculate confidence intervals in R's MASS package function confint.glm?
What method is used to calculate confidence intervals in R's MASS package function confint.glm?
The helpfile states that:
These confint methods call the appropriate profile method, then find
th …
- 4,997
12
votes
Is it possible to do time-series clustering based on curve shape?
R code is available on Rob's blog. …
- 4,997
59
votes
3
answers
29k
views
Is it possible to do time-series clustering based on curve shape?
Cluster these transformed curves using the kml package in R.
I have two questions:
Is this a reasonable exploratory approach? … Any R snippets would be much appreciated! …
- 4,997
3
votes
2
answers
9k
views
Is R's trimmed means function biased?
However, R gives the following result:
> mean(x, trim=percent.to.trim)
[1] 45.66667
This must result from the trimmed mean being based on length(x) - 2 * floor(length(x) * percent.to.trim) = 6 observations … I'm using R version 2.13.1 (2011-07-08), svn rev 56322. …
- 4,997
9
votes
2
answers
3k
views
How can I estimate 95% confidence intervals using profiling for parameters estimated by maxi...
How can I estimate 95% confidence intervals using profiling for parameters estimated by maximising a log-likelihood function using optim in R? … If so, are there any packages that can help me do this in R? If not, what would the pseudo code for such a method look like? …
- 4,997
14
votes
1
answer
26k
views
How can I calculate the R-squared of a regression with arima errors using R?
1, 0), xreg = dummy)
Coefficients:
dummy
17.7665
s.e. 1.1434
sigma^2 estimated as 1.307: log likelihood = -153.74
AIC = 311.48 AICc = 311.6 BIC = 316.67
How do calculate the R …
- 4,997