Ensure every chapter has a heading
This commit is contained in:
parent
27cc6617bb
commit
d69eeff57e
|
@ -3,4 +3,6 @@ layout: default
|
|||
title: Communicate your work
|
||||
---
|
||||
|
||||
# Communicate your work
|
||||
|
||||
Reproducible, literate code is the data science equivalent of the Scientific Report (i.e, Intro, Methods and materials, Results, Discussion).
|
||||
|
|
|
@ -3,6 +3,8 @@ layout: default
|
|||
title: Databases
|
||||
---
|
||||
|
||||
# Databases
|
||||
|
||||
### Two-table verbs
|
||||
|
||||
Each two-table verb has a straightforward SQL equivalent:
|
||||
|
|
|
@ -3,6 +3,8 @@ layout: default
|
|||
title: Model
|
||||
---
|
||||
|
||||
# Model
|
||||
|
||||
A model is a function that summarizes how the values of one variable vary in response to the values of other variables. Models play a large role in hypothesis testing and prediction, but for the moment you should think of models just like you think of statistics. A statistic summarizes a *distribution* in a way that is easy to understand; and a model summarizes *covariation* in a way that is easy to understand. In other words, a model is just another way to describe data.
|
||||
|
||||
This chapter will explain how to build useful models with R.
|
||||
|
@ -298,6 +300,7 @@ ns() # natural splines
|
|||
```
|
||||
|
||||
```{r}
|
||||
library(splines)
|
||||
tidy(lm(income ~ ns(education, knots = c(10, 17)), data = heights))
|
||||
tidy(lm(income ~ ns(education, df = 4), data = heights))
|
||||
```
|
||||
|
@ -314,7 +317,7 @@ ggplot(data = heights, mapping = aes(x= education, y = income)) +
|
|||
```{r}
|
||||
gam(income ~ s(education), data = heights)
|
||||
|
||||
ggplot(data = heights, mapping = aes(x= education, y = income)) +
|
||||
ggplot(data = heights, mapping = aes(x = education, y = income)) +
|
||||
geom_point() +
|
||||
geom_smooth(method = gam, formula = y ~ s(x))
|
||||
```
|
||||
|
|
|
@ -3,4 +3,6 @@ layout: default
|
|||
title: Save time by programming
|
||||
---
|
||||
|
||||
# Programming
|
||||
|
||||
Computer-human communication matters.
|
||||
|
|
|
@ -7,7 +7,7 @@ title: Robust code
|
|||
library(magrittr)
|
||||
```
|
||||
|
||||
## Robust code
|
||||
# Robust code
|
||||
|
||||
(This is an advanced topic. You shouldn't worry too much about it when you first start writing functions. Instead you should focus on getting a function that works right for the easiest 80% of the problem. Then in time, you'll learn how to get to 99% with minimal extra effort. The defaults in this book should steer you in the right direction: we avoid teaching you functions with major suprises.)
|
||||
|
||||
|
|
|
@ -3,4 +3,6 @@ layout: default
|
|||
title: Do science with data
|
||||
---
|
||||
|
||||
# Do science with data
|
||||
|
||||
The scientific method guides data science. Data science solves known problems with the scientific method.
|
||||
|
|
|
@ -3,4 +3,6 @@ layout: default
|
|||
title: Understand your data
|
||||
---
|
||||
|
||||
# Understand your data
|
||||
|
||||
Data poses a cognitive problem; Data comprehension is a skill.
|
||||
|
|
Loading…
Reference in New Issue