Programming with Matlab

Making Choices

Overview

Teaching: 30 min
Exercises: 0 min
Questions
  • How can programs do different things for different data values?

Objectives
  • Construct a conditional statement using if, elseif, and else

  • Test for equality within a conditional statement

  • Combine conditional tests using AND and OR

  • Build a nested loop

Our previous lessons have shown us how to manipulate data and repeat things. However, the programs we have written so far always do the same things, regardless of what data they’re given. We want programs to make choices based on the values they are manipulating.

The tool that MATLAB gives us for doing this is called a conditional statement, and it looks like this:

num = 37;

if num > 100
    disp('greater');
else
    disp('not greater');
end

disp('done');
not greater
done

The second line of this code uses the keyword if to tell MATLAB that we want to make a choice. If the test that follows is true, the body of the if (i.e., the lines between if and else) are executed. If the test is false, the body of the else (i.e., the lines between else and end) are executed instead. Only one or the other is ever executed.

Conditional statements don’t have to have an else block. If there isn’t one, MATLAB simply doesn’t do anything if the test is false:

num = 53;
disp('before conditional...');

if num > 100
    disp('53 is greater than 100');
end

disp('...after conditional');
before conditional...
...after conditional

We can also chain several tests together using elseif. This makes it simple to write a script that gives the sign of a number:

% Demo script to illustrate use of conditionals

if num > 0
	sign_of_num = 1;
elseif num == 0
	sign_of_num = 0;
else
	sign_of_num = -1;
end

disp(['Sign of num = ', num2str(sign_of_num)]);

One important thing to notice in the code above is that we use a double equals sign == to test for equality rather than a single equals sign. This is because the latter is used to mean assignment. In our test, we want to check for the equality of num and 0, not assign 0 to num. This convention was inherited from C, and it does take a bit of getting used to…

We can also combine tests, using && (and) and || (or). && is true if both tests are true:

if ((1 > 0) && (-1 > 0))
    disp('both parts are true');
else
    disp('one part is not true');
end
one part is not true

|| is true if either test is true:

if (1 < 0) || (3 < 4)
    disp('at least one part is true');
end
at least one part is true

In this case, “either” means “either or both”, not “either one or the other but not both”.

True and False Statements

1 and 0 aren’t the only values in MATLAB that are true or false. In fact, any value can be used in an if or elseif. After reading and running the code below, explain what the rule is for which values that are considered true and which are considered false.

a.

if ''
    disp('empty string is true')
end

b.

if 'foo'
    disp('non empty string is true')
end

c.

if []
    disp ('empty array is true')
end

d.

if [22.5, 1.0]
    disp ('non empty array is true')
end

e.

if [0, 0]
    disp ('array of zeros is true')
end

f.

if true
    disp('true is true')
end

Close Enough

Write a script called near that performs a test on two variables, and displays 1 when the first variable is within 10% of the other and 0 otherwise. Compare your implementation with your partner’s: do you get the same answer for all possible pairs of numbers?

Another thing to realize is that if statements can be also combined with loops. For example, if we want to sum the positive numbers in a list, we can write this:

numbers = [-5, 3, 2, -1, 9, 6];
total = 0;

for n = numbers
    if n >= 0
        total = total + n;
    end
end

disp(['sum of positive values: ', num2str(total)])
sum of positive values: 20

With a little extra effort, we can calculate the positive and negative sums in a loop:

pos_total = 0;
neg_total = 0;

for n = numbers
    if n >= 0
        pos_total = pos_total + n;
    else
        neg_total = neg_total + n;
    end
end

disp(['sum of positive values: ', num2str(pos_total)]);
disp(['sum of negative values: ', num2str(neg_total)]);
sum of positive values: 26
sum of negative values: -6

We can even put one loop inside another:

for consonant = 'bcd'
    for vowel = 'ae'
        disp (strcat(consonant, vowel));
    end
end
ba
be
ca
ce
da
de

Nesting

  1. Will changing the order of nesting in the above loop change the output? Why? Write down the output you might expect from changing the order of the loops, then rewrite the code to test your hypothesis.

  2. MATLAB (and most other languges in the C family) provides in-place operators that work like this:

x = 1;
x += 1;
x *= 3;

Rewrite the code that sums the positive and negative values in an array using these in-place operators. Do you think that the result is more or less readable than the original?

Currently, our script analyze.m reads in data, analyzes it, and saves plots of the results. If we would rather display the plots interactively, we would have to remove (or comment out) the following code:

print('-dpng', img_name);
close();

And, we’d also have to change this line of code, from:

figure('visible', 'off')

to:

figure('visible', 'on')
% or equivalently: figure()

This is not a lot of code to change every time, but it’s still work that’s easily avoided using conditionals. Here’s our script re-written to use conditionals to switch between saving plots as images and plotting them interactively:


% plot_switch:
%   0 - show plots interactively
%   1 - save plots to disk

plot_switch = 0;

for idx = 1:3

    % Generate strings for file and image names:
    file_name = sprintf('data/inflammation-%02d.csv', idx);
    img_name = sprintf ('patient_data-%02d.png', idx);

    patient_data = csvread(file_name);
    ave_inflammation = mean(patient_data, 1);

    if plot_switch == 1
        figure('visible', 'off')
    else
        figure('visible', 'on')
    end

    subplot(2, 2, 1);
    plot(ave_inflammation);
    ylabel('average')

    subplot(2, 2, 2);
    plot(max(patient_data, [], 1));
    ylabel('max')

    subplot(2, 2, 3);
    plot(min(patient_data, [], 1));
    ylabel('min')

    if plot_switch == 1
        print('-dpng', img_name);
        close()
    end

end

Key Points