Consistently suppress startup messages

This commit is contained in:
hadley 2016-10-04 08:30:06 -05:00
parent 91971a6693
commit 9c2d327fe3
3 changed files with 3 additions and 3 deletions

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@ -45,7 +45,7 @@ The goal of a model is not to uncover truth, but to discover a simple approximat
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. 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.
```{r setup, message = FALSE, cache = FALSE} ```{r setup, message = FALSE}
library(tidyverse) library(tidyverse)
library(modelr) library(modelr)

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@ -8,7 +8,7 @@ Pipes are a powerful tool for clearly expressing a sequence of multiple operatio
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. 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.
```{r setup} ```{r setup, message = FALSE}
library(magrittr) library(magrittr)
``` ```

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@ -10,7 +10,7 @@ If this chapter leaves you wanting to learn more about tibbles, you might enjoy
In this chapter we'll explore the __tibble__ package, part of the core tidyverse. In this chapter we'll explore the __tibble__ package, part of the core tidyverse.
```{r setup} ```{r setup, message = FALSE}
library(tidyverse) library(tidyverse)
``` ```