My regression results are in Table \@ref(tab:modtab).
```{r resultschunk}
library(sjPlot)
df <- read.csv('https://uoepsy.github.io/data/cognitive_experiment.csv')
mymodel <- lm(Y ~ 1 + Diagnosis * Task, data = df)
tab_model(mymodel, title="(\\#tab:modtab) THIS IS MY MODEL. NOT YOURS! GET YOUR OWN MODEL")
```
My regression results are in Table 1.
library(sjPlot)
df <- read.csv('https://uoepsy.github.io/data/cognitive_experiment.csv')
mymodel <- lm(Y ~ 1 + Diagnosis * Task, data = df)
tab_model(mymodel, title="(\\#tab:modtab) THIS IS MY MODEL. NOT YOURS! GET YOUR OWN MODEL")
| Y | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 35.00 | -3.05 – 73.05 | 0.070 |
| Diagnosis | 5.00 | -12.61 – 22.61 | 0.570 |
| Task | 7.50 | -10.11 – 25.11 | 0.395 |
| Diagnosis × Task | 2.50 | -5.65 – 10.65 | 0.539 |
| Observations | 45 | ||
| R2 / R2 adjusted | 0.369 / 0.323 | ||