Restore yaml metadata necessary for travis
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d149c28639
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@ -4,7 +4,7 @@ library(bookdown)
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library(methods)
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library(methods)
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args <- commandArgs(trailingOnly = TRUE)
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args <- commandArgs(trailingOnly = TRUE)
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path <- args[1]
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path <- temp.Rmd
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if (!file.exists(path)) {
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if (!file.exists(path)) {
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stop("Can't find path ", path, call. = FALSE)
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stop("Can't find path ", path, call. = FALSE)
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@ -1,3 +1,7 @@
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----
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layout: default
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----
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# Data structures
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# Data structures
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Might be quite brief.
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Might be quite brief.
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----
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layout: default
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----
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# Dates and times
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# Dates and times
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4
eda.Rmd
4
eda.Rmd
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----
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layout: default
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----
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# Exploratory data analysis
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# Exploratory data analysis
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```{r, include = FALSE}
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```{r, include = FALSE}
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----
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layout: default
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----
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# Expressing yourself in code
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# Expressing yourself in code
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```{r, include = FALSE}
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```{r, include = FALSE}
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----
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layout: default
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----
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# Data import
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# Data import
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```{r, include = FALSE}
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```{r, include = FALSE}
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----
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layout: default
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----
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# Introduction
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# Introduction
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```{r setup-intro, include = FALSE}
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```{r setup-intro, include = FALSE}
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----
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layout: default
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----
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# Lists
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# Lists
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```{r setup-lists, include=FALSE}
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```{r setup-lists, include=FALSE}
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----
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layout: default
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----
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# Model assessment
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# Model assessment
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```{r setup-model, include=FALSE}
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```{r setup-model, include=FALSE}
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----
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layout: default
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----
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# Model visualisation
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# Model visualisation
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Gap minder
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Gap minder
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----
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layout: default
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----
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# Model
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# Model
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After reading this chapter, what can you do that you couldn't before?
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After reading this chapter, what can you do that you couldn't before?
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----
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layout: default
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----
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# R Markdown
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# R Markdown
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Recommendations for learning more about communication:
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Recommendations for learning more about communication:
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----
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layout: default
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----
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# String manipulation
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# String manipulation
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```{r setup-strings, include = FALSE}
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```{r setup-strings, include = FALSE}
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4
tidy.Rmd
4
tidy.Rmd
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----
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layout: default
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----
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# Tidy data
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# Tidy data
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> "Tidy datasets are all alike but every messy dataset is messy in its
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> "Tidy datasets are all alike but every messy dataset is messy in its
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----
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layout: default
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----
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# Data transformation {#transform}
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# Data transformation {#transform}
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```{r setup-transform, include = FALSE}
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```{r setup-transform, include = FALSE}
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----
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layout: default
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----
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# Data visualisation
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# Data visualisation
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```{r setup-visualise, include = FALSE}
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```{r setup-visualise, include = FALSE}
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