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reprex_practice.Rmd
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reprex_practice.Rmd
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---
title: "reprex"
author: "Allison Horst"
date: "8/19/2021"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(tidyverse)
library(here)
library(janitor)
```
Your job is to identify an error, then make a reproducible example that would help future you or someone else understand how to write the code correctly. In other words, your reprex code will *work* and offer a solution to the error thrown in each of the following examples.
Data are in `AS00601.csv` (and read in correctly below as `mack_creek_vertebrates`).
Data package title: Aquatic Vertebrate Population Study in Mack Creek, Andrews Experimental Forest, 1987 to present
**Citation:** Gregory, S.V. and I. Arismendi. 2020. Aquatic Vertebrate Population Study in Mack Creek, Andrews Experimental Forest, 1987 to present ver 14. Environmental Data Initiative. https://doi.org/10.6073/pasta/7c78d662e847cdbe33584add8f809165
### Read in the data
There are no problems here.
```{r}
mack_creek_vertebrates <- read_csv(here("AS00601.csv"))
```
### reprex 1
Identify what is causing the problem in the code below (there's only one thing). Then, create a very simple reprex that would help yourself, future you, or a colleague fix the problem. **Post your reprex as an issue in your own fork on GitHub.**
```{r}
# Example 1:
mack_creek_lengths <- mack_creek_vertebrates %>%
clean_names() %>%
select(year:sampledate) %>%
filter(section == "CC") %>%
mutate(across(where(is.character, tolower))) %>%
drop_na(species) %>%
group_by(species) %>%
summarize(mean_length_cm = mean(length1, na.rm = TRUE),
sd_length_cm = sd(length1, na.rm = TRUE)) %>%
ungroup()
```
```{r}
mack_creek_lengths <- mack_creek_vertebrates %>%
clean_names() %>%
select(year:sampledate) %>%
filter(section == "CC") %>%
mutate(across(where(is.character),tolower)) |>
drop_na(species) %>%
group_by(species) %>%
summarize(mean_length_cm = mean(length1, na.rm = TRUE),
sd_length_cm = sd(length1, na.rm = TRUE)) %>%
ungroup()
```
```{r}
rubberduck_specs <-
tribble(~color, ~width, ~height, ~name,
"Yellow", 12, 24, "Dot",
"Red", 35, 29, "Love",
"Blue", 59, 20, "Dolly")
rubberduck_specs %>%
mutate(across(where(is.character),tolower))
```
### reprex 2
Identify what is causing the problem in the code below (there's only one thing). Then, create a very simple reprex that would help yourself, future you, or a colleague fix the problem. **Post your reprex as an issue in your own fork on GitHub.**
```{r}
# Example 2:
mack_creek_vertebrates %>%
clean_names() %>%
filter(species == "ONCL") %>%
ggplot(aes(x = length1, y = weight),shape = 12) +
geom_point(aes, color = "purple") +
theme_minimal() +
labs(x = "Cutthroat trout length (cm)",
y = "Weight (g)")
```
```{r}
starwars |>
ggplot(aes(x = height, y = mass), shape = 12) +
geom_point()
```
## End