Notes

>> load NYCDiseases.mat
>> measles1931 = measles(1,:)

measles1931 =

Columns 1 through 8

750 2010 4858 6172 7095 4238 907 165

Columns 9 through 12

43 54 93 134

>> measles1941 = measles(11,:);
>> measlesMay = measles(:,5);
>> measlesSpring = measles(:,[3,4,5]);
>> plot(measles1931)
>> xlabel('Month')
>> ylabel('Cases')
>> title('Measles cases in NYC: 1931')
>> plot(measles1931)
xlabel('Month')
ylabel('Cases')
title('Measles cases in NYC: 1931')
>> figure
>> plot(measles1931 ./ 1000)
>> xlabel('Month')
ylabel('Cases(in thousands)')
title('Measles cases in NYC: 1931')
>> figure
>> plot(years, measlesMay ./1000)
>> xlabel('year')
>> ylabel('Cases(in thousands)')
>> title('Measles cases in NYC: May (1931-1971)')
>> figure
>> hold on
>> plot(measles1931 ./ 1000, '-sb')
>> plot(measles1941 ./ 1000, '-ok')
>> hold off
>> xlabel('Month')
>> ylabel('Cases(in thousands)')
>> title('Measles cases NYC')
>> legend('1931','1941')
>> A= [1 2 6;4 -7 0]

A =

1 2 6
4 -7 0

>> SUM(A,1)
Undefined function 'SUM' for input arguments of type 'double'.

Did you mean:
>> sum(A,1)

ans =

5 -5 6

>> sum(A,2)

ans =

9
-3

>> sum(A(:))

ans =

6

>> sum(A)

ans =

5 -5 6

>> B=[1 2 3];
>> sum(B)

ans =

6

>> load('NYCDiseases.mat')
>> measlesByMonth = sum (measles,1);
>> measlesByYear = sum (measles,2);
>> measlesTotal = sum (measles(:))

measlesTotal =

697948

>> measlesByYear

measlesByYear =

26519
10354
36216
5015
28490
36548
12091
34604
3653
10496
79646
2261
23627
26048
1870
22408
7915
28960
5467
21990
9609
34615
5117
41037
9712
21646
10226
28272
5217
25523
4796
29671
7406
15435
4127
8381
529
2445
5033
1154
3819

>> measlesByMonth

measlesByMonth =

Columns 1 through 7

38556 74472 140556 158060 129549 86122 28541

Columns 8 through 12

7880 3283 4135 7953 18841

>> figure
>> hold on
>> plot(measlesByMonth ./1000, '-rs')
>> ,
>> plot(sum(mumps)./1000, '-ko')
>> hold off
>> A

A =

1 2 6
4 -7 0

>> A(:)

ans =

1
4
2
-7
6
0

>> A

A =

1 2 6
4 -7 0

>> max(A)

ans =

4 2 6

>> max(A, [], 1)

ans =

4 2 6

>> max(A, [], 2)

ans =

6
4

>> min(A, [], 2)

ans =

1
-7

>> min(A, [], 1)

ans =

1 -7 0

>> min(A)

ans =

1 -7 0

>> min(A, 1)

ans =

1 1 1
1 -7 0

>> min(A)

ans =

1 -7 0

>> A

A =

1 2 6
4 -7 0

>> mean(A,2)

ans =

3
-1

>> mean(A,1)

ans =

2.5000 -2.5000 3.0000

>> mean(A)

ans =

2.5000 -2.5000 3.0000

>> median(A,1)

ans =

2.5000 -2.5000 3.0000

>> median(A)

ans =

2.5000 -2.5000 3.0000

>> median(A,2)

ans =

2
0

>> std(A,2)
Error using var (line 95)
W must be a vector of nonnegative weights, or a scalar 0 or 1.

Error in std (line 32)
y = sqrt(var(varargin{:}));

>> std(A,1)

ans =

1.5000 4.5000 3.0000

>> std(A,0,1)

ans =

2.1213 6.3640 4.2426

>> std(A,1,1)

ans =

1.5000 4.5000 3.0000

>> help median
median Median value.
For vectors, median(a) is the median value of the elements in a.
For matrices, median(A) is a row vector containing the median
value of each column. For N-D arrays, median(A) is the median
value of the elements along the first non-singleton dimension
of A.

median(A,DIM) takes the median along the dimension DIM of A.

Example: If A = [1 2 4 4; 3 4 6 6; 5 6 8 8; 5 6 8 8];

then median(A) is [4 5 7 7] and median(A,2)
is [3 5 7 7].'

Class support for input A:
float: double, single
integer: uint8, int8, uint16, int16, uint32, int32, uint64, int64

See also mean, std, min, max, var, cov, mode.

Overloaded methods:
ProbDistUnivParam/median
ProbDistUnivKernel/median
timeseries/median

Reference page in Help browser
doc median

>> load('NYCDiseases.mat')
>> measlesAverage= mean(measles(:));
>> measlesAverage

measlesAverage =

1.4186e+03

>> fprintf('Average measles cases =%g n', measlesAverage);
Average measles cases =1418.59
>> fprintf('Average measles cases =%g', measlesAverage);
Average measles cases =1418.59>>
>> fprintf('Measles: median = %g (max = %g and min = %g) n',...
median(measles(:)), max(measles(:)), min(measles(:)));
Measles: median = 359.5 (max = 25826 and min = 11)
>> fprintf('Measles: median = %8.1f (max = %10.3f and min = %g) n',...
median(measles(:)), max(measles(:)), min(measles(:)));
Measles: median = 359.5 (max = 25826.000 and min = 11)
>>