Consistently suppress startup messages
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@ -45,7 +45,7 @@ The goal of a model is not to uncover truth, but to discover a simple approximat
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In this chapter we'll use the modelr package which wraps around base R's modelling functions to make them work naturally in a pipe.
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```{r setup, message = FALSE, cache = FALSE}
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```{r setup, message = FALSE}
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library(tidyverse)
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library(modelr)
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@ -8,7 +8,7 @@ Pipes are a powerful tool for clearly expressing a sequence of multiple operatio
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The pipe, `%>%`, comes from the __magrittr__ package by Stefan Milton Bache. Packages in the tidyverse load `%>%` for you automatically, so you don't usually load magrittr explicitly. Here, however, we're focussing on piping, and we aren't loading any other packages, so we will load it explicitly.
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```{r setup}
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```{r setup, message = FALSE}
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library(magrittr)
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```
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@ -10,7 +10,7 @@ If this chapter leaves you wanting to learn more about tibbles, you might enjoy
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In this chapter we'll explore the __tibble__ package, part of the core tidyverse.
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```{r setup}
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```{r setup, message = FALSE}
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library(tidyverse)
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```
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