Solution 3647338

Submitted on 13 Nov 2020 by Cai Cai

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2 Comments

2 Comments

Cai Cai on 13 Nov 2020

Meaningless

Andres Felipe Villalba Cortes on 27 Dec 2020 at 4:08

load cars
a = [];
c = str2double(cars.Variables);
Mg2 = c(:,2);
h1 = c(:,4);
for s = 1:N
[w,q] = min(h1,[],'omitnan');
h1(q) = max(h1)+1;
a = [a;q];
end
mpg = Mg2(a)

end

Test Suite

Test	Status	Code Input and Output
1	Pass	N = 5 load(fullfile(matlabroot, 'toolbox/stats/statsdemos', 'carbig.mat')); Model = strtrim(string(Model)); cars = table(Model, MPG, Horsepower, Weight, Acceleration); save cars.mat cars assert(isequal(sort_cars(N),[35; 31; 39.1; 35.1; 31])); N = 5
2	Pass	N = 6 load(fullfile(matlabroot, 'toolbox/stats/statsdemos', 'carsmall.mat')); Model = strtrim(string(Model)); cars = table(Model, MPG, Horsepower, Weight, Acceleration); save cars.mat cars assert(isequal(sort_cars(N),[33; 29.5; 26; 29; 38; 32])); N = 6

Test

Status

Code Input and Output

Pass

N = 5 load(fullfile(matlabroot, 'toolbox/stats/statsdemos', 'carbig.mat')); Model = strtrim(string(Model)); cars = table(Model, MPG, Horsepower, Weight, Acceleration); save cars.mat cars assert(isequal(sort_cars(N),[35; 31; 39.1; 35.1; 31]));

N = 5

Pass

N = 6 load(fullfile(matlabroot, 'toolbox/stats/statsdemos', 'carsmall.mat')); Model = strtrim(string(Model)); cars = table(Model, MPG, Horsepower, Weight, Acceleration); save cars.mat cars assert(isequal(sort_cars(N),[33; 29.5; 26; 29; 38; 32]));

N = 6

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