Linear Regression

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Debug

Error: cannot allocate vector of size 407.0 Mb

private$.run()
private$.compute(data)
car::durbinWatsonTest(models[[i]])
durbinWatsonTest.lm(models[[i]])
residuals(lm(Y ~ X - 1))
lm(Y ~ X - 1)
lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...)
Model Fit Measures
ModelR
1..

 

Model Coefficients - like
PredictorEstimateSEtp
Intercept....
gmbi1_4....

 

General Linear Model

Model Info
Info 
EstimateLinear model fit by OLS
Calllike ~ 1 + gmbi1_4
R-squared0.12
Adj. R-squared0.12
[3]

 

Model Results

ANOVA Omnibus tests
 SSdfFpη²p
Model16172.0217211.390.0000.12
gmbi1_416172.0217211.390.0000.12
Residuals119622.9453342   
Total135794.9653343   

 

Fixed Effects Parameter Estimates
95% Confidence Interval
NamesEstimateSELowerUpperβdftp
(Intercept)3.160.013.153.170.0053342487.420.000
gmbi1_40.510.010.500.520.355334284.920.000

 

Results

References

[1] The jamovi project (2019). jamovi. (Version 1.0) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2018). R: A Language and envionment for statistical computing. [Computer software]. Retrieved from https://cran.r-project.org/.

[3] Gallucci, M. (2019). GAMLj: General analyses for linear models. [jamovi module]. Retrieved from https://gamlj.github.io/.