Hello in this lecture we're going to learn how to compute the main statistical indicators by groups
or subsets.
You then the back edge psych more exactly the Command described by the data.
I'm going to use the same d more and I'm going to get the main statistical indicators for the variable
income and for all the groups of the variable education separately
OK let's load the package for us.
And then in order to get the indicators we must use the command described by.
And the command we have to define the dependent variable.
For us it is income from the from the date of that D.M. and the grouping babbel education separated
by the call that all that Ronit Let see what we got a pretty big table because the education variable
has five levels I think.
Yes.
So for each the level of education we have a separate section in this table a college degree did not
complete high school high school degree.
That's right.
OK.
And we have in each section the main indicators for the variable income the number of cases mean standard
deviation median Trium demand median deviation the minimum and maximum values.
The difference between them.
The range that you think are close states and the standard error or the ME.
So you have all the indicators for all of the lampost of the grouping variable separately the data advantage
with this function described by is that you cannot compute the indicator for two or more variables simultaneously.
Here you can have only one dependent variable.
In this case income.
So if you want to compute the indicators for two or more variables for three variables for example you
have to run the command described by three times that.
Thank you.