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Results tagged with r
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user 147695
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
votes
Regression within categorical variable in R
You want to perform a planned contrasts. Make sure this is supported by theory and that you do not run out of degrees of freedom by including too many contrasts.
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2
votes
0
answers
1k
views
Scaling of linear discriminant from lda in MASS
I was attempting to replicate in R an example my instructor used in class from SPSS. …
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-1
votes
Constraining latent variance of the slope across groups in lavaan
Your data might have issues. Although you wish to fit a growth model, some participants (n=6) do not have any growth at all and thus have no within-person variance. Fully 135 of participants have less …
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3
votes
Accepted
Auto correlation function in R what are the error lines
statistical significance, where the null hypothesis is:
$$H_0: r_k=0$$
The test statistic is:
$$\mid r_k\mid>\frac{1.96}{\sqrt{n}}$$
See Cowpertait & Metcalfe (2009) for more about time series analysis in R. …
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1
vote
How to calculate Odds Ratio with R
Without more context for the meaning of your variables, it is hard to help you interpret your results. You want to do an odds ratio, but why? Normally, though, you can interpret the odds ratio as an e …
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1
vote
How to evaluate all possible contrasts of an interaction effect
Now, use R to do a logistic regression and analyze it:
mod=glm(Change~Type1+Type2,family='binomial')
summary(mod)
confint(mod)
exp(coef(mod))/(1+exp(coef(mod)))
This creates model, summarizes it, gives …
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0
votes
Predictive model from sequential data R
For dichotomous outcomes in a lonitudinal model, try using a glmm in glmer function in r. I can enhance this answer based on your comments. …
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1
vote
1
answer
2k
views
Interpreting ARIMA for Interrupted Time Series Analysis
I want to test for efficacy of an intervention. I have pre- and post-intervention data and I used auto.arima to find the best fit for the two data sets.
I'm stuck in the actual use of these models no …
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0
votes
What am I modeling with R vs. SPSS mixed model?
Normally, CrossValidated is not for programming questions. That would be Stack Overflow, but it looks like your SPSS syntax does not include a random component nor have you specified a covariance stru …
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0
votes
Accepted
Is there a acceptable replacement for Poisson regression for this case?
Using a log transformation would help excpet you have some 0's. There is support for applying a small constant and then doing a log transformation when you have 0's in your data (https://robjhyndman.c …
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2
votes
Which model for my data?
Because your model uses longitudinal data, it is best to check for the Intraclass Correlation Coefficient (ICC) before assuming independence. However, this particualr model has a small sample size, so …
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3
votes
Accepted
How to compare paired percentages (can I use the Wilcoxon signed-rank test?)
Wilcoxon signed rank test and all such univariate analyses (ANOVA, t-Test, etc.) can be analyzed using regression. You will probably need to do a log transformation in the percentages if they are your …
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0
votes
Nested mixed model with longitudinal data and variables with very few observations
I would say that doing ICC by hand for all the levels will be easier because extracting the values from the functions is not always straightforward in R. …
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2
votes
1
answer
79
views
Multiple-R from just b coefficients
Packages from my preferred software (Amelia and Zelig from R) give me estimates of a linear model after multiple imputation, but do not provide multiple R. … Is there a way to calculate multiple-R from just the b coefficients? Below is the overall model provided through Zelig. …
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3
votes
1
answer
3k
views
How many lags for ADF test based on ACF, PACF
I have 8 time series data. How do I determine how many lags to use in ur.df from library(urca)?
Is it right to visually inspect the results of acf() and pacf()?
What does it mean if, for the same da …
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