Let’s see if you can make a document that looks exactly like this using R Markdown. Try to copy this document verbatum. Set the output to “html_document”

1. Insert this plot from the iris dataset

Here, I want you to insert a plot of three species of iris from the iris dataset. I have suppressed the printing of the code here. Some clues:

2. Conduct and report the results of an analysis

We can conduct a linear regression between the speed of a car and the distance it takes for the car to stop. This data is available in a dataset called cars that is pre-installed in R.

head(cars)
##   speed dist
## 1     4    2
## 2     4   10
## 3     7    4
## 4     7   22
## 5     8   16
## 6     9   10

Let’s plot it:

plot(dist~speed, data=cars, pch=19)

We can conduct the linear regression with speed as the independent variable and distance as the dependent variable:

fit.cars=lm(dist~speed, data=cars)
summary(fit.cars)
## 
## Call:
## lm(formula = dist ~ speed, data = cars)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -29.069  -9.525  -2.272   9.215  43.201 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -17.5791     6.7584  -2.601   0.0123 *  
## speed         3.9324     0.4155   9.464 1.49e-12 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 15.38 on 48 degrees of freedom
## Multiple R-squared:  0.6511, Adjusted R-squared:  0.6438 
## F-statistic: 89.57 on 1 and 48 DF,  p-value: 1.49e-12

3. Create a table to present results

Let’s organize the results as a table:

Slope F (d.f.) Adjusted R2 P
3.93 89.6 (1,48) 0.64 <0.001

There are other ways to make pretty tables, but we’ll just go with the simple markdown format presented in the Reference Guide.

When you are ready for the answer:

You can download the .Rmd document by right-clicking here and selecting “Save Link as…”