Create a log-linear model m2 with response log(mass_g) (using R’s natural log function log) and regressor SVL_mm.
时间: 2024-10-01 19:09:15 浏览: 7
To create a log-linear model `m2` where the response variable is the natural logarithm of `mass_g` and the regressor is `SVL_mm`, follow these steps:
1. **Transform the Response Variable**: Use R's natural log function `log` to transform the `mass_g` variable.
2. **Build the Model**: Utilize the `lm()` function to build the linear model with the transformed response variable.
Here is the corresponding R code:
```R
# Assuming 'my_lizards' is the dataframe containing the relevant data
m2 <- lm(log(mass_g) ~ SVL_mm, data = my_lizards)
summary(m2) # Display the model summary
```
This code snippet creates the model and displays its summary, providing insights into the coefficients, residuals, and overall model fit.