Intro to R Assignment

```{r setup, include=FALSE}n knitr::opts_chunk$set(echo = TRUE)

library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.5.2     ✔ tibble    3.3.0
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.1.0     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(readxl)
library(janitor)

## 
## Attaching package: 'janitor'
## 
## The following objects are masked from 'package:stats':
## 
##     chisq.test, fisher.test

library(skimr)

df <- read_csv("R sheet - Sheet1.csv")

## Rows: 10 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (3): Leaf, Length, Width
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

df <- janitor::clean_names(df)
glimpse(df)

## Rows: 10
## Columns: 3
## $ leaf   <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
## $ length <dbl> 4.5, 4.6, 4.3, 4.4, 4.8, 4.4, 4.5, 4.6, 4.4, 4.7
## $ width  <dbl> 2.1, 2.2, 1.9, 2.2, 2.4, 2.1, 2.0, 2.3, 2.0, 2.2

head(df, 10)

## # A tibble: 10 × 3
##     leaf length width
##    <dbl>  <dbl> <dbl>
##  1     1    4.5   2.1
##  2     2    4.6   2.2
##  3     3    4.3   1.9
##  4     4    4.4   2.2
##  5     5    4.8   2.4
##  6     6    4.4   2.1
##  7     7    4.5   2  
##  8     8    4.6   2.3
##  9     9    4.4   2  
## 10    10    4.7   2.2

ggplot(df, aes(x = length, y = width)) +
  geom_point() +
  labs(
    title = "Leaf dimensions",
    x = "Length (cm)",
    y = "Width (cm)"
  )

## R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)

##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.