Find and compare rows in table by column value

Hello i have a table in witch I only care about two columns. The table looks something like this

Year_Birth | Income | Martial status | ... | ... | ... | Ed_level |

1992 | 2000 | Divorced | ... | ... | ... | High |

1989 | 6700 | Divorced | ... | ... | ... | low |

1994 | 8900 | Divorced | ... | ... | ... | High |

..... | ..... | ...... | ... | ... | ... | .... |

I want to be able to look at "Ed_Level" and take 50 random rows with "High" Ed_level and take the mean of their income (Get their mean etc).

So far I have been able to take out the groups and get their mean by doing the following:

G = findgroups(table.Ed_level);

meanInc = splitapply(@mean, table.Income, G);

But i cant seem to figure out how to get out 50 random sambles of only one of the diffrent "Ed_levels".

Answer 1

[dpb]

groupsummary(table,{'Year','Ed_level'},@(x)mean(x(randperm(numel(x),50)),'Income')