1. Aprender
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  2. Cursos
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  3. Generalized Linear Models in R
  • 1

    GLMs, an extension of your regression toolbox

    Gratuito

    This chapter teaches you how generalized linear models are an extension of other models in your data science toolbox. The chapter also uses Poisson regression to introduce generalize linear models.

  • 2

    Logistic Regression

    This chapter covers running a logistic regression and examining the model outputs.

  • 3

    Interpreting and visualizing GLMs

    This chapter teaches you about interpreting GLM coefficients and plotting GLMs using ggplot2.

  • 4

    Multiple regression with GLMs

    In this chapter, you will learn how to do multiple regression with GLMs in R.

Initializing

Exercicio

Comparing probits and logits

You learned about probit and logit link function in the previous chapter. Now, you will learn how to plot them together with ggplot2. The purpose of this exercise is to show you that the two are often very similar and also to show you how to change link functions with ggplot2. Your plot, gg_jitter, has been loaded for you and you will use this with geom_smooth(). Also, you will change the colors of your curves and remove the shaded areas to make the plot easier to read.

Instruções

100 XP
  • Plot a probit curve by setting the first family to use a probit link using binomial(link = 'probit'), the color to 'red', and se to FALSE.
  • Plot a logit curve by setting the first family to use a logit link using binomial(link = 'logit'), the color to 'blue', and se to FALSE.