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Posted 11-23-2016 03:15 PM
(8822 views)

Hi,

I would like to graph a frequency distributions chart to compare the distribution of manipulator and non-manipulator.

However, the frequency of manipulator is really small, so i want to multiply a number on the frequency of distrubution for manipulator in order to allow easier visual comparison with the much larger sample of non-manipulator.

I use proc sgplot. How can I make it work?

Thank you very much for your help.

1 ACCEPTED SOLUTION

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If you want a kernel density estimate of the FREQ variable, you can use

```
proc sgplot data=em;
density freq / type=kernel group=em;
run;
```

If you want to form a histogram, but plot the frequencies as a series, you can use PROC UNIVARIATE to bin the data and the SERIES statement to plot the binned frequencies:

```
proc univariate data=em noprint;
class em;
histogram freq / outhist=out
midpoints=(0 to 0.8 by 0.05);
run;
proc sgplot data=out;
series x=_midpt_ y=_count_ / group=em;
run;
```

9 REPLIES 9

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Instead of multiplying, plot both histograms or bar charts on the percentage scale. For example, this is how you can plot percentage of males and females on the same bar chart:

```
proc sgplot data=sashelp.class;
vbar age / group=sex stat=percent groupdisplay=cluster;
run;
```

If you have a continuous variable, you can use comparative histograms to compare the distribution across groups.

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Thank you very much for your prompt response. But it has to be the frequency scale. D you know how to do it? thank you

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I don't understand why you say "it has to be the frequency scale." To compare absolute counts, plot the data on the count scale. To compare the relative proportions, plot on the percentage scale.

Do you have some sampling scheme in which you oversampled one category? For example, does each male in your data represent 10 members of the population but each female represents 100? Even then, I think plotting proportions are the way to go.

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Hi Rick,

Sorry for making you confuse.

I have matched one manipulator to five non-manipulator, and i need to graph a frequency distribution char to compare the difference of ditribution between manipulator and non-manipulator.

Please find the attached figure. I need to do the same thing as the enclosed figure.

Thank you very much for your help.

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Well, I still don't like it, but you can do it by using a FREQ variable. Here is an example in which each female in the data set represents 5 females:

```
data FakeData;
set sashelp.class;
if sex="F" then freq=5;
else freq=1;
run;
proc sgplot data=FakeData;
vbar age / group=sex freq=freq groupdisplay=cluster;
run;
```

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Thank you for your help, though it is still different from what i need.

Regards,

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If you want a line instead of bars, just use the VLINE statement instead of VBAR.

If you have a continuous variable, use the DENSITY statement.

If you post some sample data, I'm sure that someone can give you what you need.

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Thank you. the following is the sample data. i want to compare the difference of distribution (frequency) of Estimated probability between em=1 and em=0.

Global Company | Data Year - | em | Estimated Probability |

Key | Fiscal | ||

1173 | 1999 | 1 | 0.50883 |

137377 | 1999 | 0 | 0.53093 |

1173 | 1999 | 1 | 0.50883 |

31015 | 1999 | 0 | 0.36718 |

1173 | 1999 | 1 | 0.50883 |

8388 | 1999 | 0 | 0.45892 |

1173 | 1999 | 1 | 0.50883 |

133729 | 1999 | 0 | 0.52904 |

1173 | 1999 | 1 | 0.50883 |

61553 | 1999 | 0 | 0.6904 |

1173 | 2000 | 1 | 0.48688 |

63038 | 2000 | 0 | 0.53392 |

1173 | 2000 | 1 | 0.48688 |

26038 | 2000 | 0 | 0.67335 |

1173 | 2000 | 1 | 0.48688 |

15758 | 2000 | 0 | 0.56561 |

1173 | 2000 | 1 | 0.48688 |

62874 | 2000 | 0 | 0.49828 |

1173 | 2000 | 1 | 0.48688 |

143526 | 2000 | 0 | 0.48667 |

1173 | 2001 | 1 | 0.48896 |

15758 | 2001 | 0 | 0.43567 |

1173 | 2001 | 1 | 0.48896 |

2299 | 2001 | 0 | 0.4265 |

1173 | 2001 | 1 | 0.48896 |

24982 | 2001 | 0 | 0.52106 |

1173 | 2001 | 1 | 0.48896 |

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If you want a kernel density estimate of the FREQ variable, you can use

```
proc sgplot data=em;
density freq / type=kernel group=em;
run;
```

If you want to form a histogram, but plot the frequencies as a series, you can use PROC UNIVARIATE to bin the data and the SERIES statement to plot the binned frequencies:

```
proc univariate data=em noprint;
class em;
histogram freq / outhist=out
midpoints=(0 to 0.8 by 0.05);
run;
proc sgplot data=out;
series x=_midpt_ y=_count_ / group=em;
run;
```

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