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• What is an R package? How to install a package in R? How to use a function contained in a package? • We have been using the dplyr functions such as arrange(), filter(), select(), mutate(), and summarise(). What is each of them for? • How to use ggplot() function to visualize data? 

          • What is an R package? How to install a package in R? How to use a function contained in a package?
• We have been using the dplyr functions such as arrange(), filter(), select(), mutate(), and summarise(). What is each of them for?
• How to use ggplot() function to visualize data?
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• What is an R package? How to install a package in R? How to use a function contained in a package? • We have been using the dplyr functions such as arrange(), filter(), select(), mutate(), and summarise(). What is each of them for? • How to use ggplot() function to visualize data?

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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Transcript

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00:01 Today we're going to look at some r packages.
00:03 We're going to use the arrange function, the filter function, these select function, the mutate function, and the summarize function.
00:32 And they're all functions within the d -pliar package.
00:39 So we're going to load that up and show you how this works.
00:41 So let's go ahead and tackle this.
00:42 So let's get r studio going.
00:45 And i made some data to play around with today.
00:49 So in order to install the package, you need to do install.
00:53 Packages.
00:54 And then you put quotes around the package.
00:57 I've already done it.
00:58 And to run it, you press this little run button.
01:01 Like i said, i've already done it.
01:02 So i need to do it.
01:03 And then once you install it, you need to actually blow it into your r sessions.
01:09 You have to do library de -plyer, run it.
01:12 Now we're good to go.
01:12 And let's first do a range.
01:16 So what a range does is it reorders the rows of a data frame based on one more variable.
01:22 So it's like a sorting function.
01:26 So for example, here's some data that i made, name, age, and then numbed cats.
01:32 So let's run that.
01:34 And if you look at the data frame, there it is, alice, bob, charlie, david, their ages, and the number of cats.
01:39 So we can do sort it, df, and then this little print percent greater than percent that is a pipe operator.
01:50 It takes the df and then it's the object that a range is using the data from.
01:58 What you're going to do is take pump an age into it, so you're going to sort it by age.
02:03 You run this.
02:05 And you can do, if you don't put descending, d .e.
02:10 S -c and then the variable it's going to go ascending.
02:15 Let's run that and here we see in both.
02:18 So here's the sorted age from least to greatest.
02:22 Here's sorted descending, grace to least.
02:27 All right, so is that.
02:28 Now filter, what we're going to do is it selects a subset of rows based on specified conditions.
02:42 So what you're going to do, we're going to sort, or excuse me, filter the data from d .s.
02:46 For people who are older than 25.
02:50 So df, pipe operator, filter when age is greater than 25.
02:55 So we run that.
02:56 Let's take a look at the data.
02:58 There it is.
02:58 So it's only bob and david.
02:59 Their ages are greater than 25.
03:01 But if you want to make it equal to you, just put greater than equal to 25.
03:04 And you can see we've captured alice as well because she is 25.
03:08 All right, so filter.
03:11 Now we're going to do select.
03:12 And select is used to choose specific columns from the data frame.
03:20 So for our data frame, which has name, age, and numcats, we're just going to do name and numcats...
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