子曾经曰过，“九层之台起于累土；千里之行始于足下”。从这里，你要开始书写你的第一行R代码；你将要学习如何把R console当作计算器来使用以及来给变量赋值；你也将了解R的数据类型。 我们开始吧！
可以当作最基本的计算器来使用。
变量是R里面的一个基本概念。
使用R时，你可以用变量来存储一个值 (e.g. 4) 或者一个对象 (e.g. 函数) in R。之后你就可以使用变量的名称来使用这个值或者对象。简单说来，就是给一些东西取个名字，这样以后方便叫它。
试着用下面这行代码，来把4这个数存储（赋值）给变量 my_var, 然后你只需要输入my_var，R Console就将4输出来：
示例：
轮到你了: 在编辑区创建一个变量x，并将42这个数指派给它，然后点击“run”。接下来你可以直接在R console 输入x, R console 就会给你输出42。
示例：
Suppose you have a fruit basket with five apples. As a data analyst in training, you want to store the number of apples in a variable with the name my_apples.
示例：
Every tasty fruit basket needs oranges, so you decide to add six oranges. As a data analyst, your reflex is to immediately create the variable my_oranges and assign the value 6 to it. Next, you want to calculate how many pieces of fruit you have in total. Since you have given meaningful names to these values, you can now code this in a clear way: my_apples + my_oranges
示例：
The great advantage of doing calculations with variables is reusability. If you just change my_apples to equal 12 instead of 5 and rerun the script, my_fruit will automatically update as well. Continue to the next exercise.
示例：
Common knowledge tells you not to add apples and oranges. But hey, that is what you just did, no :-)? The my_apples and my_oranges variables both contained a number in the previous exercise. The + operator works with numeric variables in R. If you really tried to add “apples” and “oranges”, and assigned a text value to the variable my_oranges (see the editor), you would be trying to assign the addition of a numeric and a character variable to the variable my_fruit. This is not possible.
示例：
示例：
R works with numerous data types. Some of the most basic types to get started are:
示例：
Change the value of the:
示例：
Do you remember that when you added 5 + “six”, you got an error due to a mismatch in data types? You can avoid such embarrassing situations by checking the data type of a variable beforehand. You can do this with the class() function, as the code on the right shows.
Complete the code in the editor and also print out the classes of my_character and my_logical.
示例：In this free R course, we’ll take you on a trip to Vegas, where you will learn how to analyze your gambling results using vectors in R! After completing this chapter, you will be able to create vectors in R, name them, select elements from them and compare different vectors. Create a vector Feeling lucky? You better, because this chapter takes you on a trip to the City of Sins, also known as Statisticians Paradise!
Thanks to R and your new data-analytical skills, you will learn how to uplift your performance at the tables and fire off your career as a professional gambler. This chapter will show how you can easily keep track of your betting progress and how you can do some simple analyses on past actions. Next stop, Vegas Baby… VEGAS!!
Do you still remember what you have learned in the first chapter? Assign the value “Go!” to the variable vegas. Remember: R is case sensitive!
Let us focus first!
On your way from rags to riches, you will make extensive use of vectors. Vectors are one-dimension arrays that can hold numeric data, character data, or logical data. In other words, a vector is a simple tool to store data. For example, you can store your daily gains and losses in the casinos.
In R, you create a vector with the combine function c(). You place the vector elements separated by a comma between the parentheses. For example:
numeric_vector <- c(1, 2, 3) character_vector <- c(“a”, “b”, “c”) Once you have created these vectors in R, you can use them to do calculations.
100 XP Complete the code such that boolean_vector contains the three elements: TRUE, FALSE and TRUE (in that order).
Notice that adding a space behind the commas in the c() function improves the readability of your code. Let’s practice some more with vector creation in the next exercise.
After one week in Las Vegas and still zero Ferraris in your garage, you decide that it is time to start using your data analytical superpowers.
Before doing a first analysis, you decide to first collect all the winnings and losses for the last week:
For poker_vector:
On Monday you won $140 Tuesday you lost $50 Wednesday you won $20 Thursday you lost $120 Friday you won $240 For roulette_vector:
On Monday you lost $24 Tuesday you lost $50 Wednesday you won $100 Thursday you lost $350 Friday you won $10 You only played poker and roulette, since there was a delegation of mediums that occupied the craps tables. To be able to use this data in R, you decide to create the variables poker_vector and roulette_vector.
100 XP ####INSTRUCTIONS 100 XP Assign the winnings/losses for roulette to the variable roulette_vector
As a data analyst, it is important to have a clear view on the data that you are using. Understanding what each element refers to is therefore essential.
In the previous exercise, we created a vector with your winnings over the week. Each vector element refers to a day of the week but it is hard to tell which element belongs to which day. It would be nice if you could show that in the vector itself.
You can give a name to the elements of a vector with the names() function. Have a look at this example:
some_vector <- c(“John Doe”, “poker player”) names(some_vector) <- c(“Name”, “Profession”) This code first creates a vector some_vector and then gives the two elements a name. The first element is assigned the name Name, while the second element is labeled Profession.
The code on the right names the elements in poker_vector with the days of the week. Add code to do the same thing for roulette_vector.
You can use names(roulette_vector) to set the names of the variable roulette_vector. Make sure to use the same vector with the days of the week as names. Remember that R is case sensitive!
If you want to become a good statistician, you have to become lazy. (If you are already lazy, chances are high you are one of those exceptional, natural-born statistical talents.)
In the previous exercises you probably experienced that it is boring and frustrating to type and retype information such as the days of the week. However, when you look at it from a higher perspective, there is a more efficient way to do this, namely, to assign the days of the week vector to a variable!
Just like you did with your poker and roulette returns, you can also create a variable that contains the days of the week. This way you can use and re-use it.
70 XP A variable days_vector that contains the days of the week has already been created for you. Use days_vector to set the names of poker_vector and roulette_vector. Show Answer (-70 XP) ####HINT You can use names(poker_vector) <- days_vector to set the names of the elements poker_vector. Do a similar thing for roulette_vector.
A word of advice: try to avoid code duplication at all times. Continue to the next exercise and learn how to do arithmetic with vectors!
Now that you have the poker and roulette winnings nicely as named vectors, you can start doing some data analytical magic.
You want to find out the following type of information:
How much has been your overall profit or loss per day of the week? Have you lost money over the week in total? Are you winning/losing money on poker or on roulette? To get the answers, you have to do arithmetic calculations on vectors.
It is important to know that if you sum two vectors in R, it takes the element-wise sum. For example, the following three statements are completely equivalent:
c(1, 2, 3) + c(4, 5, 6) c(1 + 4, 2 + 5, 3 + 6) c(5, 7, 9) You can also do the calculations with variables that represent vectors:
a <- c(1, 2, 3) b <- c(4, 5, 6) c <- a + b ####INSTRUCTIONS 70 XP Take the sum of the variables A_vector and B_vector and assign it to total_vector. Inspect the result by printing out total_vector. Show Answer (-70 XP) ####HINT Use the + operator to sum A_vector and B_vector. Use <- to assign the result to total_vector.
Now you understand how R does arithmetic with vectors, it is time to get those Ferraris in your garage! First, you need to understand what the overall profit or loss per day of the week was. The total daily profit is the sum of the profit/loss you realized on poker per day, and the profit/loss you realized on roulette per day.
In R, this is just the sum of roulette_vector and poker_vector.
100 XP Assign to the variable total_daily how much you won or lost on each day in total (poker and roulette combined).
Based on the previous analysis, it looks like you had a mix of good and bad days. This is not what your ego expected, and you wonder if there may be a very tiny chance you have lost money over the week in total?
A function that helps you to answer this question is sum(). It calculates the sum of all elements of a vector. For example, to calculate the total amount of money you have lost/won with poker you do:
total_poker <- sum(poker_vector) ####INSTRUCTIONS 70 XP Calculate the total amount of money that you have won/lost with roulette and assign to the variable total_roulette. Now that you have the totals for roulette and poker, you can easily calculate total_week (which is the sum of all gains and losses of the week). Print out total_week. Show Answer (-70 XP) ####HINT Use the sum() function to get the total of the roulette_vector. total_week is then the sum of roulette_vector and poker_vector.
Oops, it seems like you are losing money. Time to rethink and adapt your strategy! This will require some deeper analysis…
After a short brainstorm in your hotel’s jacuzzi, you realize that a possible explanation might be that your skills in roulette are not as well developed as your skills in poker. So maybe your total gains in poker are higher (or > ) than in roulette.
70 XP Calculate total_poker and total_roulette as in the previous exercise. Use the sum() function twice. Check if your total gains in poker are higher than for roulette by using a comparison. Simply print out the result of this comparison. What do you conclude, should you focus on roulette or on poker? Show Answer (-70 XP) ####HINT You partly calculated the answer to this question in the previous exercise already! To check if 6 is larger than 5, you type 6 > 5. This returns a logical value (TRUE or FALSE).
Your hunch seemed to be right. It appears that the poker game is more your cup of tea than roulette.
Another possible route for investigation is your performance at the beginning of the working week compared to the end of it. You did have a couple of Margarita cocktails at the end of the week…
To answer that question, you only want to focus on a selection of the total_vector. In other words, our goal is to select specific elements of the vector. To select elements of a vector (and later matrices, data frames, …), you can use square brackets. Between the square brackets, you indicate what elements to select. For example, to select the first element of the vector, you type poker_vector[1]. To select the second element of the vector, you type poker_vector[2], etc. Notice that the first element in a vector has index 1, not 0 as in many other programming languages.
70 XP Assign the poker results of Wednesday to the variable poker_wednesday.
Show Answer (-70 XP) ####HINT Wednesday is the third element of poker_vector, and can thus be selected with poker_vector[3].
How about analyzing your midweek results?
To select multiple elements from a vector, you can add square brackets at the end of it. You can indicate between the brackets what elements should be selected. For example: suppose you want to select the first and the fifth day of the week: use the vector c(1, 5) between the square brackets. For example, the code below selects the first and fifth element of poker_vector:
poker_vector[c(1, 5)] ####INSTRUCTIONS 70 XP Assign the poker results of Tuesday, Wednesday and Thursday to the variable poker_midweek.
Show Answer (-70 XP) ####HINT Use the vector c(2, 3, 4) between square brackets to select the correct elements of poker_vector.
Selecting multiple elements of poker_vector with c(2, 3, 4) is not very convenient. Many statisticians are lazy people by nature, so they created an easier way to do this: c(2, 3, 4) can be abbreviated to2:4, which generates a vector with all natural numbers from 2 up to 4.
So, another way to find the mid-week results is poker_vector[2:4]. Notice how the vector 2:4 is placed between the square brackets to select element 2 up to 4.
70 XP Assign to roulette_selection_vector the roulette results from Tuesday up to Friday; make use of : if it makes things easier for you.
Show Answer (-70 XP) ####HINT Assign a selection of roulette_vector to roulette_selection_vector by placing 2:5 between square brackets.Another way to tackle the previous exercise is by using the names of the vector elements (Monday, Tuesday, …) instead of their numeric positions. For example,
poker_vector[“Monday”] will select the first element of poker_vector since “Monday” is the name of that first element.
Just like you did in the previous exercise with numerics, you can also use the element names to select multiple elements, for example:
poker_vector[c(“Monday”,“Tuesday”)] ####INSTRUCTIONS 0 XP Select the first three elements in poker_vector by using their names: “Monday”, “Tuesday” and “Wednesday”. Assign the result of the selection to poker_start. Calculate the average of the values in poker_start with the mean() function. Simply print out the result so you can inspect it. ####HINT You can use c(“Monday”, “Tuesday”, “Wednesday”) inside square brackets to subset poker_vector appropriately. You can use mean(poker_start) to get the mean of the elements in poker_start. You do not need the mean of all poker elements, but only of the first three days.By making use of comparison operators, we can approach the previous question in a more proactive way.
The (logical) comparison operators known to R are:
< for less than > for greater than <= for less than or equal to >= for greater than or equal to == for equal to each other != not equal to each other As seen in the previous chapter, stating 6 > 5 returns TRUE. The nice thing about R is that you can use these comparison operators also on vectors. For example:
c(4, 5, 6) > 5 [1] FALSE FALSE TRUE This command tests for every element of the vector if the condition stated by the comparison operator is TRUE or FALSE.
Working with comparisons will make your data analytical life easier. Instead of selecting a subset of days to investigate yourself (like before), you can simply ask R to return only those days where you realized a positive return for poker.
In the previous exercises you used selection_vector <- poker_vector > 0 to find the days on which you had a positive poker return. Now, you would like to know not only the days on which you won, but also how much you won on those days.
You can select the desired elements, by putting selection_vector between the square brackets that follow poker_vector:
poker_vector[selection_vector] R knows what to do when you pass a logical vector in square brackets: it will only select the elements that correspond to TRUE in selection_vector.
70 XP Use selection_vector in square brackets to assign the amounts that you won on the profitable days to the variable poker_winning_days.
Show Answer (-70 XP) ####HINT Use poker_vector[selection_vector] to select the desired elements from poker_vector, and assign the result to poker_winning_days.Just like you did for poker, you also want to know those days where you realized a positive return for roulette.
70 XP Create the variable selection_vector, this time to see if you made profit with roulette for different days. Assign the amounts that you made on the days that you ended positively for roulette to the variable roulette_winning_days. This vector thus contains the positive winnings of roulette_vector. Show Answer (-70 XP) ####HINT Once you’ve correctly calculated selection_vector, you can again use roulette_vector[selection_vector] to select the positive results from roulette_vector.