# In table, how to count a number of specific values by year?

조회 수: 1(최근 30일)
Doheon Lee 2021년 6월 30일
댓글: Doheon Lee 2021년 6월 30일
I have a following table.
Date Value win_repeat
___________ _____ __________
20-Nov-2018 0.041 1
21-Nov-2018 0.04 2
29-Nov-2018 0.042 0
11-Feb-2019 0.039 0
21-Mar-2019 0.035 1
02-May-2019 0.048 0
21-Aug-2019 0.045 2
16-Sep-2019 0.04 0
03-Oct-2019 0.038 2
04-Oct-2019 0.037 1
10-Oct-2019 0.035 0
31-Oct-2019 0.034 2
20-Nov-2019 0.034 1
26-Nov-2019 0.034 1
28-Nov-2019 0.033 1
02-Dec-2019 0.033 2
14-Jan-2020 0.034 2
22-Jun-2020 0.022 1
30-Jul-2020 0.023 2
20-Aug-2020 0.03 0
I like to count how many '0', '1', '2' are in the 'win_repeat' column for each year. The expected result is as below.
year_Date win_repeat GroupCount_win_repeat
2018 0 1
2018 1 1
2018 2 1
2019 0 4
2019 1 5
2019 2 4
2020 0 1
2020 1 1
2020 2 2
Firstly, I tried with 'groupcounts', but it only counts a number of rows in the table for each year.
x = groupcounts(T, 'Date', 'year')
x =
3×3 table
year_Date GroupCount Percent
_________ __________ _______
2018 3 15
2019 13 65
2020 4 20
Next, I tried with 'groupsummary', I cannot intput 'count' for the 'method' variable (please note that 'mean' is input for the 'method' varialbe in the follwing example).
x = groupsummary(T, 'Date', 'year', 'mean', 'win_repeat')
x =
3×3 table
year_Date GroupCount mean_win_repeat
_________ __________ _______________
2018 3 1
2019 13 1
2020 4 1.25
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Doheon Lee 2021년 6월 30일
I already have tried it. But the error comes up.
>> groupsummary(T, 'Date', 'year', @(x) histc(x, unique(x)), 'win_repeat')
Error using groupsummary (line 480)
Unable to apply method 'fun1' to data variable win_repeat.

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### 채택된 답변

Cris LaPierre 2021년 6월 30일
편집: Cris LaPierre 2021년 6월 30일
The key may be in realizing that you have 2 grouping criteria - year and win_repeat. I added your data to a txt file so I could run this example.
T = 20×3 table
Date Value win_repeat ___________ _____ __________ 20-Nov-2018 0.041 1 21-Nov-2018 0.04 2 29-Nov-2018 0.042 0 11-Feb-2019 0.039 0 21-Mar-2019 0.035 1 02-May-2019 0.048 0 21-Aug-2019 0.045 2 16-Sep-2019 0.04 0 03-Oct-2019 0.038 2 04-Oct-2019 0.037 1 10-Oct-2019 0.035 0 31-Oct-2019 0.034 2 20-Nov-2019 0.034 1 26-Nov-2019 0.034 1 28-Nov-2019 0.033 1 02-Dec-2019 0.033 2
% Use groupsummary
x = groupsummary(T, ["Date","win_repeat"],["year","none"])
x = 9×3 table
year_Date win_repeat GroupCount _________ __________ __________ 2018 0 1 2018 1 1 2018 2 1 2019 0 4 2019 1 5 2019 2 4 2020 0 1 2020 1 1 2020 2 2
% Or use groupcounts
y = groupcounts(T, ["Date","win_repeat"],["year","none"])
y = 9×4 table
year_Date win_repeat GroupCount Percent _________ __________ __________ _______ 2018 0 1 5 2018 1 1 5 2018 2 1 5 2019 0 4 20 2019 1 5 25 2019 2 4 20 2020 0 1 5 2020 1 1 5 2020 2 2 10
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Doheon Lee 2021년 6월 30일
Thank you for the more information. No, I did not meant to apply any funciton to the groups., but your reply helps me think further than what I tried to do at the beginning. Once again, thank you so much for the help. :)

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### 추가 답변(1개)

Yazan 2021년 6월 30일
year = [repmat(2018, [3,1]); repmat(2019, [13,1]); repmat(2020, [4,1])];
win = [1;2;0;0;1;0;2;0;2;1;0;2;1;1;1;2;2;1;2;0];
T = table(year, win);
groupsummary(T, 'year', @(x) {histcounts(x)});

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