Demo 1
Bethany
2023-08-14
R markdown
What does R Markdown do
R Markdown is like a magic notebook for data work. You can write text, add code, and see the results of that code all in one place. When you’re done, you can turn your work into a report, presentation, or even a website. It’s a way to share your code, results, and explanations in a single document.
Header and formatting
Text formatting
Bold
Meow Meow
Italic
Meow Meow
Strikethrough
Meow
Blockquote
Why did the cat sit on the computer? > Because it wanted to keep an eye on the mouse!
Endash
2023–08–20
Emdash
Cat___Felis catus
Superscript
x2
Subscript
H2O
Horizontal lines
Use three or more dashes—, ***, ___
Lists
Domestic Cats: The ones you might have at home!
- Domestic Cats
- Devon Rex
- Siamese
- Tuxedo
- Domestic Cats
- Devon Rex
- Siamese
- Tuxedo
Unordered list
- item 2
- sub-item 1
- sub-item 2
Ordered list
- item 1
- item 2
- sub-item 1
- sub-item 2
Table
| Header 1 | Header 2 |
|---|---|
| Row1Col1 | Row1Col2 |
| Row2Col1 | Row2Col2 |
| Cat breed | Average weight (lbs) |
|---|---|
| Devon Rex | 5-10 |
| Ragdool | 8-20 |
| American Shorthair | 10-15 |
Code Chunks
# This is a code chunk in R Markdown
data <- c(1, 2, 3, 4, 5)
mean(data)## [1] 3Output Formats
R Markdown can be rendered into various formats: > HTML PDF Word Slides And more…
#R project
this automatically sets the working directory to the project’s root folder.
- How to create a RStudio Project:
- Open R Studio
- Start a new project
- Chose a director and project a name for your project
- And then create a markdown file or any file, this file will always be in the folder where you created the project
NA
NA stands for not available in a dataset > Missing or undefined data, like blanks in the data
#create a list of cat names
cat_name<-c("Orca", "Charlie", "Luna", "Paws","Cookie")
#create a list of cat weight recorded
cat_weight<-c(4.5, 6.2, NA, 3.8, NA)
#create a list of cat potty activity detected
Cat_potty<-c(TRUE, FALSE, NA, FALSE, TRUE)Data cleaning options for NA
In a list
#check if a value in the list is NA
na_check_cat_weight<- is.na(cat_weight)
na_check_cat_weight## [1] FALSE FALSE TRUE FALSE TRUE#Count the number of NA in the list
sum(is.na(cat_weight))## [1] 2#Remove NA from the list
na_removal_cat_weight <- na.omit(cat_weight)
na_removal_cat_weight## [1] 4.5 6.2 3.8
## attr(,"na.action")
## [1] 3 5
## attr(,"class")
## [1] "omit"#replace NA with another value, in this case, 0
na_replace_cat_weight <- cat_weight
na_replace_cat_weight[is.na(cat_weight)] <- 0
na_replace_cat_weight## [1] 4.5 6.2 0.0 3.8 0.0Combine the lists into dataframe
cat_health <- data.frame(name = cat_name, weight = cat_weight, potty_activity = Cat_potty)
cat_health## name weight potty_activity
## 1 Orca 4.5 TRUE
## 2 Charlie 6.2 FALSE
## 3 Luna NA NA
## 4 Paws 3.8 FALSE
## 5 Cookie NA TRUEOperation with ‘NA’ in the data
#use na.rm=TRUE to ignore na is it exist
mean_weight<-mean(cat_health$weight,na.rm=TRUE)
mean_weight## [1] 4.833333#use complete.cases to identify rows in a data frame that contains NA
luna_row <- cat_health[cat_health$name == "Luna", ] # Subsetting the dataframe for Luna's row
luna_completion <- complete.cases(luna_row) # Checking completeness for Luna's row
luna_completion## [1] FALSEWhen 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.
Assignment demo
Stats Team
- For the function assigned
- create a data frame
- run your function on your data frame
- put down notes for the input and output of this function
Function: Head()
# Creating an data frame for anything you are interested in, you can also make it up (min, 7 rows)
disney_movies <- data.frame(
Movie = c("The Lion King", "Frozen", "Aladdin", "Mulan", "Beauty and the Beast", "Tangled", "Pocahontas"),
Release_Year = c(1994, 2013, 1992, 1998, 1991, 2010, 1995),
IMDb_Rating = c(8.5, 7.4, 8.0, 7.6, 8.0, 7.7, 6.7),
Protagonist = c("Simba", "Elsa & Anna", "Aladdin", "Mulan", "Belle", "Rapunzel", "Pocahontas"),
Antagonist = c("Scar", "Duke of Weselton", "Jafar", "Shan Yu", "Gaston", "Mother Gothel", "Governor Ratcliffe"),
Main_Song = c("Circle of Life", "Let It Go", "A Whole New World", "Reflection", "Beauty and the Beast", "I See the Light", "Colors of the Wind")
)
# This display your data frame
disney_movies## Movie Release_Year IMDb_Rating Protagonist Antagonist
## 1 The Lion King 1994 8.5 Simba Scar
## 2 Frozen 2013 7.4 Elsa & Anna Duke of Weselton
## 3 Aladdin 1992 8.0 Aladdin Jafar
## 4 Mulan 1998 7.6 Mulan Shan Yu
## 5 Beauty and the Beast 1991 8.0 Belle Gaston
## 6 Tangled 2010 7.7 Rapunzel Mother Gothel
## 7 Pocahontas 1995 6.7 Pocahontas Governor Ratcliffe
## Main_Song
## 1 Circle of Life
## 2 Let It Go
## 3 A Whole New World
## 4 Reflection
## 5 Beauty and the Beast
## 6 I See the Light
## 7 Colors of the Wind#run you function here
head(disney_movies)## Movie Release_Year IMDb_Rating Protagonist Antagonist
## 1 The Lion King 1994 8.5 Simba Scar
## 2 Frozen 2013 7.4 Elsa & Anna Duke of Weselton
## 3 Aladdin 1992 8.0 Aladdin Jafar
## 4 Mulan 1998 7.6 Mulan Shan Yu
## 5 Beauty and the Beast 1991 8.0 Belle Gaston
## 6 Tangled 2010 7.7 Rapunzel Mother Gothel
## Main_Song
## 1 Circle of Life
## 2 Let It Go
## 3 A Whole New World
## 4 Reflection
## 5 Beauty and the Beast
## 6 I See the Lighthead(disney_movies,2)## Movie Release_Year IMDb_Rating Protagonist Antagonist
## 1 The Lion King 1994 8.5 Simba Scar
## 2 Frozen 2013 7.4 Elsa & Anna Duke of Weselton
## Main_Song
## 1 Circle of Life
## 2 Let It GoNotes:( here, put in notes of what is the input and what the function does to the dataframe and what is the output )
Input: head(dataframe) or head(dataframe, #)
Output:
by default, head() pulls out the first 6 rows in a data frame head(data_frame, #) returns the first # rows in a data frame
| Name | Assigned Function |
|---|---|
| Christina Nguyen | head() |
| Marina Zhao | tail() |
| Gardenia Chang | str() |
| Kelly Zhen | summary() |
| Jack Oberdorfer | length() |
| Emily Zhu | dim() |
| Wesley Martinez | class() |
| Francesca Casimiro | names() |
Method team
Include everything in the list:
Title
Subtitle (name, date, etc)
Text formatting
- Bold,
- Italic
- Strikethrough
- Blockquote
- Endash
List
Table
In the code chunks:
- A string
- A variable
- An math equation of your choice
In a separate csv file:
- create a table of at least 3 columns and 5 rows
- import the csv into your R studio
Next in the code chunk, create:
- 5 vectors (that is the same as the info in your table)
- use your vector to combine into a dataframe (should look the same as your table in the csv)