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dr. M.S. (Matthijs) Berends
2022-08-21 16:37:20 +02:00
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vignettes/resistance_predict.Rmd
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@ -96,7 +96,7 @@ example_isolates %>%
ggplot_rsi_predict()
```
Vancomycin resistance could be 100% in ten years, but might also stay around 0%.
Vancomycin resistance could be 100% in ten years, but might remain very low.
You can define the model with the `model` parameter. The model chosen above is a generalised linear regression model using a binomial distribution, assuming that a period of zero resistance was followed by a period of increasing resistance leading slowly to more and more resistance.
@ -108,7 +108,7 @@ Valid values are:
| `"loglin"` or `"poisson"` | `glm(..., family = poisson)` | Generalised linear model with poisson distribution |
| `"lin"` or `"linear"` | `lm()` | Linear model |
For the vancomycin resistance in Gram-positive bacteria, a linear model might be more appropriate since no binomial distribution is to be expected based on the observed years:
For the vancomycin resistance in Gram-positive bacteria, a linear model might be more appropriate:
```{r}
example_isolates %>%
@ -117,8 +117,6 @@ example_isolates %>%
ggplot_rsi_predict()
```
This seems more likely, doesn't it?
The model itself is also available from the object, as an `attribute`:
```{r}
model <- attributes(predict_TZP)$model