OverviewTeaching: 35 min
Exercises: 5 minQuestions
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
executed. If the test is false, the body of the
the lines between
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:
%CONDITIONAL_DEMO Demo script to illustrate use of conditionals num = 53; if num > 0 disp('num is positive') elseif num == 0 disp('num is zero') else disp('num is negative') end
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
0, not assign 0 to
num. This convention was inherited
from C, and it does take a bit of getting used to…
During a conditional statement, if one of the conditions is true, this marks the end of the test: no subsequent conditions will be tested and execution jumps to the end of the conditional.
Let’s demonstrate this by adding another condition which is true.
% Demo script to illustrate use of conditionals num = 53; if num > 0 disp('num is positive') elseif num == 0 disp('num is zero') elseif num > 50 % This block will never be executed disp('num is greater than 50') else disp('num is negative') end
We can also combine tests, using
&& (and) and
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
The conditions we have tested above evaluate to a logical value:
false. However these numerical comparison tests aren’t the only values which are
falsein MATLAB. For example,
false. In fact, any value can be used in a conditional statement.
Run the code below in order to discover which values are considered
trueand which are considered
if '' disp('empty string is true') end if 'foo' disp('non empty string is true') end if  disp ('empty array is true') end if [22.5, 1.0] disp ('non empty array is true') end if [0, 0] disp ('array of zeros is true') end if true disp('true is true') end
Write a script called
nearthat performs a test on two variables, and displays
1when the first variable is within 10% of the other and
0otherwise. Compare your implementation with your partner’s: do you get the same answer for all possible pairs of numbers?
%NEAR Display 1 if variable a is within 10% of variable b % and display 0 otherwise a = 1.1; b = 1.2; if a/b >= 0.9 && a/b <= 1.1 disp(1) else disp(0) end
Another thing to realize is that
if statements can
also be combined with loops. For example, if we want
to sum the positive numbers in a list, we can write
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 number = 1:3 for letter = 'ab' disp([num2str(number), letter]) end end
1a 1b 2a 2b 3a 3b
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.
for letter = 'ab' for number = 1:3 disp([num2str(number), letter]) end end
Reordering the nested loops changes the output. In the new code, the number loop happens within the letter loop, so while letter = a, number takes the values 1, 2, and 3 in turn.
Currently, our script
plot_all.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:
And, we’d also have to change this line of code, from:
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_ALL Print statistics for all patients. % Save plots of statistics to disk. % Use variable plot_switch to control interactive plotting % vs saving images to disk. % plot_switch = 0: show plots interactively % plot_switch = 1: save plots to disk plot_switch = 0; files = dir('data/inflammation-*.csv'); % Process each file in turn for i = 1:length(files) file_name = files(i).name; % Generate strings for image names: img_name = replace(file_name, '.csv', '.png'); % Generate path to data file and image file file_name = fullfile('data', filename); img_name = fullfile('results', img_name); patient_data = readmatrix(file_name); % Create figures if plot_switch == 1 figure('visible', 'off') else figure('visible', 'on') end subplot(2, 2, 1) plot(mean(patient_data, 1)) title('Average') ylabel('Inflammation') xlabel('Day') subplot(2, 2, 2) plot(max(patient_data, , 1)) title('Max') ylabel('Inflammation') xlabel('Day') subplot(2, 2, 3) plot(min(patient_data, , 1)) title('Min') ylabel('Inflammation') xlabel('Day') if plot_switch == 1 print(img_name, '-dpng') close() end end
elseto make choices based on values in your program.