Having hard time plotting groups

I have two sets of group(each group 3 column). I have the mean for each column. I wanted to plot both groups on one graph but i am having hard time understanding the best code to use to get the graph. I am really new to Matlab and would appreciate the help.

[KSSV]

Read about plot3, plot, scatter, gscatter.

[Mary Johnson]

I guess simple question would be, do i graph the mean of each column or all the values of each column?

[Seth Furman]

What is your goal? It would be helpful if you could provide a simple example of what your data look like and what you want your graph to look like.

Are you, for example, trying to plot averaged data of each group so that you have 2 lines, one for each group? One simple way to do this is using stackedplot.

>> t = array2table(reshape(1:36,6,6))

t =

  6×6 table

    Var1    Var2    Var3    Var4    Var5    Var6
    ____    ____    ____    ____    ____    ____

     1        7      13      19      25      31 
     2        8      14      20      26      32 
     3        9      15      21      27      33 
     4       10      16      22      28      34 
     5       11      17      23      29      35 
     6       12      18      24      30      36 

>> t.Group1Mean = mean(t{:,1:3},2);
>> t.Group2Mean = mean(t{:,4:6},2)

t =

  6×8 table

    Var1    Var2    Var3    Var4    Var5    Var6    Group1Mean    Group2Mean
    ____    ____    ____    ____    ____    ____    __________    __________

     1        7      13      19      25      31          7            25    
     2        8      14      20      26      32          8            26    
     3        9      15      21      27      33          9            27    
     4       10      16      22      28      34         10            28    
     5       11      17      23      29      35         11            29    
     6       12      18      24      30      36         12            30    

>> stackedplot(t,{["Group1Mean","Group2Mean"]})

[Mary Johnson]

Okay, so we run 2 different groups under 3 different conditions. In each conditions there are 40 scores. The plot i was trying to have was the first group( 3 column) vs second group(3 remaining column).

Thank you so much.

[Mary Johnson]

@Seth Furman, i want do the column rather than the rows. How will the code change? Thank you

[Image Analyst]

Attach your data. For example

save('answers.mat', 'x1', 'y1', 'x2', 'y2'); % etc. for as many variables as you have.

Then attach answers.mat with the paper clip icon.

Or else attach your data file with code to read it in.

[Mary Johnson]

This is the data we collected. We did 2 groups (Test 1 and Test 2). Test 1 were placed under 3 different conditions(Group A, GroupB, and GroupC). Test 2 were placed under 3 different conditions(GroupD,GroupE, and GroupF). I did the mean for each column. The question was to plot the data. The graph was supposed to have Test 1 and Test 2 on same plot. I am sorry i am not doing good in describing the question :(

[Star Strider]

Mary Johnson — A picture may be worth a thousand words, however the actual data and code are worth a thousand pictures!

[Seth Furman]

Mary, I'm still a little confused what you mean by "the column rather than the rows".

• What data do you want for the x-axis?
• What data do you want for the y-axis?
• How many plots do you want?
• Are you looking to plot the data in your screenshot as-is, or do you want to process it before plotting, for example by averaging Groups A through C?

Do you want two adjacent plots, the first with Groups A through C plotted against row index (3 separate lines with 19 points each) and the second with Groups D through F (3 separate lines with 19 points each).

e.g.

>> t = array2table(reshape(1:36,6,6),'VariableNames',strcat("Group",["A" "B" "C" "D" "E" "F"]))

t =

  6×6 table

    GroupA    GroupB    GroupC    GroupD    GroupE    GroupF
    ______    ______    ______    ______    ______    ______

      1          7        13        19        25        31  
      2          8        14        20        26        32  
      3          9        15        21        27        33  
      4         10        16        22        28        34  
      5         11        17        23        29        35  
      6         12        18        24        30        36  

>> stackedplot(t,{1:3,4:6})

[Mary Johnson]

@Seth Furman, I am wanting the X axis to be the 6 conditions and i want the Y axis the be the mean values. I am wanting the TEST 1(Group A-C) and TEST 2(GroupD-F) both to be on the blot. YES i want to adjust plots. Yes i want to average A through C and D through F. The first plot is supposed to have (condition 1 with Mean column A, condition 2 with Mean column B, condition 3 with Mean column C). The second plot is supposed to be similart to first plot but only from (D-F) in conncected line. Thank you for the help.

[Seth Furman]

Ok. So it sounds like you want something like a bar graph.

Bar graphs can be created with the "bar" function: https://www.mathworks.com/help/matlab/ref/bar.html

I've included an example of the "bar" function below. Please also check out the documentation for plotting, which you may also find helpful:

https://www.mathworks.com/help/matlab/2-and-3d-plots.html

>> t = array2table(reshape(1:36,6,6),'VariableNames',strcat("Group",["A" "B" "C" "D" "E" "F"]))

t =

  6×6 table

    GroupA    GroupB    GroupC    GroupD    GroupE    GroupF
    ______    ______    ______    ______    ______    ______

      1          7        13        19        25        31  
      2          8        14        20        26        32  
      3          9        15        21        27        33  
      4         10        16        22        28        34  
      5         11        17        23        29        35  
      6         12        18        24        30        36  

>> tMean = varfun(@mean,t)

tMean =

  1×6 table

    mean_GroupA    mean_GroupB    mean_GroupC    mean_GroupD    mean_GroupE    mean_GroupF
    ___________    ___________    ___________    ___________    ___________    ___________

        3.5            9.5           15.5           21.5           27.5           33.5    

>> tiledlayout(2,1);
>> nexttile;
>> x = categorical(t.Properties.VariableNames(1:3));
>> y = tMean{:,1:3};
>> bar(x,y);
>> nexttile;
>> x = categorical(t.Properties.VariableNames(4:6));
>> y = tMean{:,4:6};
>> bar(x,y);

Answer 1

[Mary Johnson]

@Seth Ferman, thank you soooo much!!!