Numerical Descriptive Analysis of Variances

The script begins by creating a dataset named 'example' using a DATA step with embedded data via the DATALINES statement. This dataset contains five numerical variables ('allsame', 'half6181', 'even6181', 'half5191', 'even5191'). Then, the PROC MEANS procedure is used to calculate key descriptive statistics such as the number of observations, mean, variance, standard deviation, minimum, and maximum for all numerical variables in the 'example' dataset.

Data Analysis

Type : CREATION_INTERNE

The 'example' dataset is created directly within the script using a DATA step and data embedded via the `datalines` statement. There is no dependency on external data sources or SASHELP.

1 Code Block

DATA STEP Data

Explanation :
This DATA block creates the 'example' dataset. The variables `allsame`, `half6181`, `even6181`, `half5191`, and `even5191` are defined as numeric with a length of 2. Data is read directly from the provided lines (`datalines`), allowing for entirely self-contained data creation within the script.

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1	DATA example;
2	INPUT allsame 2. half6181 2. even6181 2. half5191 2. even5191 2.;
3	DATALINES;
4	71 61 61 51 51
5	71 61 62 51 52
6	71 61 63 51 53
7	71 61 64 51 54
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14	71 61 71 51 61
15	71 81 72 51 62
16	71 81 73 51 63
17	71 81 74 51 64
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20	71 81 77 51 67
21	71 81 78 51 68
22	71 81 79 51 69
23	71 81 80 51 70
24	71 81 81 91 71
25	. . . 91 72
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44	. . . 91 91
45	;
46	RUN;

2 Code Block

PROC MEANS

Explanation :
This block uses the PROC MEANS procedure to calculate descriptive statistics for all numeric variables in the 'example' dataset. Requested statistics include the number of observations (N), mean (MEAN), variance (VAR), standard deviation (STD), minimum (MIN), and maximum (MAX). The `maxdec=2` option formats the output with two decimal places for the calculated statistics.

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1
2	PROC MEANS
3	DATA=example n mean var std min max maxdec=2;
4	RUN;
5

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