need solution during trainning

Hello all, I am new in this community .I need help to solve the below problem. please help me..

statement : You can add a custom function at the end of your script. For data preprocessing, the function should take the data returned from the datastore as input. It should return the transformed data as output.

function dataout = functionName(datain)
    % do something with datain
    dataout = ...
end

Given script :

letterds = datastore("*_M_*.txt");
data = read(letterds);
data = scale(data);
plot(data.X,data.Y)
axis equal
plot(data.Time,data.Y)
ylabel("Vertical position")
xlabel("Time")

Task ; -

Create a function called scale at the end of the script that performs the following operations:

data.Time = (data.Time - data.Time(1))/1000;
data.X = 1.5*data.X;

Because these commands modify the variable data directly, your function should use data as both the input and output variable.

Note that the third line of the script calls the scale function. Your script won't run until this function has been created.

Also note that local functions must be at the end of a script. This means you will be editing the script sections out of order in this interaction. The section headings show which section of the script to edit in each task.

[Balamurugan S]

Use the transform function to create a transformed datastore called preprocds. This datastore should apply the scale function to the data referenced by letterds.

[Mritunjaya Sharma]

TaskUse the transform function to create a transformed datastore called preprocds. This datastore should apply the scale function to the data referenced by letterds.

[Mritunjaya Sharma]

To use a function as an input to another function, create a function handle by adding the @ symbol to the beginning of the function name.

transform(ds,@myfun)

A function handle is a reference to a function. Without the @ symbol, MATLAB will interpret the function name as a call to that function.

TaskUse the transform function to create a transformed datastore called preprocds. This datastore should apply the scale function to the data referenced by letterds.

[Rhonnel S. Paculanan]

TASK 1

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

end

TASK 2

preprocds =transform( letterds , @scale ) % directly process the data storage

% Read all processed data

data =readall( preprocds );

plot( data . Time , data . Y )

TASK 3

preprocds = transform(letterds,@scale)

data = readall(preprocds)

plot(data.Time,data.Y)

TASK 4 (erase the content of Tasks 1 and paste this program)

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

data.X = data.X - mean(data.X);

data.Y = data.Y - mean(data.Y);

end

TASK 5 (erase the content of Tasks 4 and paste this program)

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

data.X = data.X - mean(data.X,"omitnan");

data.Y = data.Y - mean(data.Y,"omitnan");

end

Answer 1

[Ravi kumar]

letterds = datastore("*_M_*.txt");
data = read(letterds);
data.Time = (data.Time - data.Time(1))/1000;
data.X = 1.5*data.X;
plot(data.X,data.Y)
axis equal
plot(data.Time,data.Y)
ylabel("Vertical position")
xlabel("Time")
data = scale(data);

[Abhishek Nandeppagol]

Use the transform function to create a transformed datastore called preprocds. This datastore should apply the scale function to the data referenced by letterds.

[Rhonnel S. Paculanan]

TASK 1

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

end

TASK 2

preprocds =transform( letterds , @scale ) % directly process the data storage

% Read all processed data

data =readall( preprocds );

plot( data . Time , data . Y )

TASK 3

preprocds = transform(letterds,@scale)

data = readall(preprocds)

plot(data.Time,data.Y)

TASK 4 (erase the content of Tasks 1 and paste this program)

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

data.X = data.X - mean(data.X);

data.Y = data.Y - mean(data.Y);

end

TASK 5 (erase the content of Tasks 4 and paste this program)

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

data.X = data.X - mean(data.X,"omitnan");

data.Y = data.Y - mean(data.Y,"omitnan");

end

Answer 2

[VISHAL]

letterds = datastore("*_M_*.txt");
data = read(letterds);
data = scale(data);
plot(data.X,data.Y)
axis equal
plot(data.Time,data.Y)
ylabel("Vertical position")
xlabel("Time")
function data = scale(data)
    data.Time = (data.Time - data.Time(1))/1000;
    data.X = 1.5*data.X;
end

[Manoj Kumar M]

is write answer

[Rhonnel S. Paculanan]

TASK 1

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

end

TASK 2

preprocds =transform( letterds , @scale ) % directly process the data storage

% Read all processed data

data =readall( preprocds );

plot( data . Time , data . Y )

TASK 3

preprocds = transform(letterds,@scale)

data = readall(preprocds)

plot(data.Time,data.Y)

TASK 4 (erase the content of Tasks 1 and paste this program)

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

data.X = data.X - mean(data.X);

data.Y = data.Y - mean(data.Y);

end

TASK 5 (erase the content of Tasks 4 and paste this program)

function data = scale(data)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

data.X = data.X - mean(data.X,"omitnan");

data.Y = data.Y - mean(data.Y,"omitnan");

end

Answer 3

[Hessel]

you should put the "sacle" function at the end

letterds = datastore("*_M_*.txt");
data = read(letterds);
data = scale(data);
plot(data.X,data.Y)
axis equal
plot(data.Time,data.Y)
ylabel("Vertical position")
xlabel("Time")

preprocds = transform(letterds,@scale)

function data = scale(data)
    data.Time = (data.Time - data.Time(1))/1000;
    data.X = 1.5*data.X;
end

[BRAJ KISHOR VERMA]

show wrong result

Answer 4

[Ali Al-nuaimi]

preprocds = transform(letterds,@scale)
function data = scale(data)
    data.Time = (data.Time - data.Time(1))/1000;
    data.X = 1.5*data.X;
end

[Logesh B]

answer is wrong

[Prayas]

answer is wrong sir please solve it

Answer 5

[L.J.]

data = readall(preprocds);
plot(data.Time, data.Y)

The first line of code needs to be surpressed, so just be sure to add a ; to solve the issue :) good luck

[JAMES S]

Not solviing

[구룽]

task 2 says it's incorrect :(

Answer 6

[Roshan karthick]

letterds = datastore("*_M_*.txt");
data = read(letterds);
data = scale(data);
plot(data.X,data.Y)
axis equal
plot(data.Time,data.Y)
ylabel("Vertical position")
xlabel("Time")

[Ravi kumar]

its wrong answer .i tried in matlab

[Gulfairuz Baiturganova]

Do you know what is the right answer for the task 2?

Answer 7

[BRAJ KISHOR VERMA]

letterds = datastore("*_M_*.txt");
preprocds = transform(letterds,@scale)
data.Time = (data.Time - data.Time(1))/1000;
data.X = 1.5*data.X;
plot(data.X,data.Y)
axis equal
plot(data.Time,data.Y)
ylabel("Vertical position")
xlabel("Time")
data = scale(data);

in this we have a task

TASK

Use the readall function to import all the data. Check that the preprocessing function was applied to each file by plotting the Y variable as a function of Time.

Answer 8

[Priti Gujar]

Use the transform function to create a transformed datastore called preprocds. This datastore should apply the scale function to the data referenced by letterds.

Answer 9

[Abdul Aziz Hisham Shubbak]

last all ::

function data = scale(data)
data.Time = (data.Time - data.Time(1))/1000;
data.X = 1.5*data.X;
data.X = data.X - mean(data.X);
data.Y = data.Y - mean(data.Y);
end

Answer 10

[Nakshathra]

letterds = datastore("*_M_*.txt");

preprocds = transform(letterds,@scale)

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

plot(data.X,data.Y)

axis equal

plot(data.Time,data.Y)

ylabel("Vertical position")

xlabel("Time")

data = scale(data);preprocds = transform(letterds,@scale)data.Time = (data.Time - data.Time(1))/1000;data.X = 1.5*data.X;plot(data.X,data.Y)axis equalplot(data.Time,data.Y)ylabel("Vertical position")xlabel("Time")data = scale(data);

Answer 11

[R Balaganesh]

Create a function called scale at the end of the script that performs the following operations:

data.Time = (data.Time - data.Time(1))/1000;

data.X = 1.5*data.X;

Because these commands modify the variable data directly, your function should use data as both the input and output variable.

Note that the third line of the script calls the scale function. Your script won't run until this function has been created.

Also note that local functions must be at the end of a script. This means you will be editing the script sections out of order in this interaction. The section headings show which section of the script to edit in each task.

Answer 12

[Muthulakshmi]

At the end of the script, add a local function called extract that takes a single variable, letter, as input and returns a table of features, feat, as output. Copy the code from the beginning of the script and from task 2 to make the body of the function. Test your function by calling it with b2 as input. Store the result in a variable called featB2