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@taylormwang taylormwang commented Sep 28, 2019

Student: Minruo Wang
UNI: mw3399
Assignment: HUDK4050 class-activity-2

Looking forward to your feedbacks & solutions!

Student: Minruo Wang
UNI: mw3399
StudentScores <- runif(100, min = 1, max = 100)
#pmax sets a maximum value, pmin sets a minimum value
StudentScores <- pmax(1, StudentScores)
StudentScores <- pmin(100, StudentScores)

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There is an another way of setting maximum and minimum values with a single line of code. round(pmax(1, pmin(100, rnorm(100, 75, 20))))

#sample draws a random samples from the groups vector according to a uniform distribution
StudentScores <- round(StudentScores, digits = 0)
InterestGroups <- c("sport", "music", "nature", "literature")

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InterestGroups should be randomized as well. You can use sample()

```{r boxplot}
#Make a vector of the colors from RColorBrewer
library(ggplot2)

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Great job on using ggplot! You can also use boxplot()


```{r correlation test}
# Correlation tests using Pearson
cor.test(iris$Sepal.Length, iris$Sepal.Width, method = "pearson", use = "complete.obs")

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Good job on using the cor.test()!


##### 10. Finally use the knitr function to generate an html document from your work. If you have time, try to change some of the output using different commands from the RMarkdown cheat sheet.

##### 11. Commit, Push and Pull Request your work back to the main branch of the repository

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Excellent work overall! Try rendering your RMarkdown file into an HTML document.

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