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Refresher on fitting linear models

During this exercise, you'll see how a linear model is a special case of a generalized linear model (GLM). You will use the ChickWeight (docs) dataset that we introduced during the video. I have already extracted the last observed weights for you. With the dataset, you will see if Diet affects weight at the end of the study.

Recall from the video that a linear model looks like lm(formula = y ~ x, data = dat) and that a GLM looks like glm(formula = y ~ x, data = dat, family = 'family').

यह अभ्यास पाठ्यक्रम का हिस्सा है

Generalized Linear Models in R

पाठ्यक्रम देखें

अभ्यास निर्देश

  • Fit a linear model with variable weight predicted by variable Diet using the chick_weight_end dataframe.
  • Fit a GLM using the same formula and data, but also include the gaussian family.

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

# Fit a lm()
lm(formula = ___ ~ ___, data = ___)

# Fit a glm()
glm(formula = ___ ~ ___ , data = ___, family = '___')
कोड संपादित करें और चलाएँ