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(v1.1.0.9019) mo_source fix
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@ -89,7 +89,7 @@ ggplot_rsi_predict(predict_TZP, ribbon = FALSE)
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### Choosing the right model
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Resistance is not easily predicted; if we look at vancomycin resistance in Gram positives, the spread (i.e. standard error) is enormous:
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Resistance is not easily predicted; if we look at vancomycin resistance in Gram-positive bacteria, the spread (i.e. standard error) is enormous:
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```{r}
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example_isolates %>%
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@ -110,7 +110,7 @@ Valid values are:
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| `"loglin"` or `"poisson"` | `glm(..., family = poisson)` | Generalised linear model with poisson distribution |
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| `"lin"` or `"linear"` | `lm()` | Linear model |
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For the vancomycin resistance in Gram positive bacteria, a linear model might be more appropriate since no (left half of a) binomial distribution is to be expected based on the observed years:
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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:
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```{r}
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example_isolates %>%
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