Description Usage Arguments Details Author(s) See Also Examples

Approximate the quantiles of the underlying distribution for which only a histogram is available.

1 2 3 | ```
ApproxQuantile(x, probs, ...)
ApproxMean(x)
Count(x)
``` |

`x` |
A histogram object (created by |

`probs` |
Numeric vector of probabilities with values in [0,1]. |

`...` |
Any other arguments to pass to |

Many data analysis pipelines write out histogram protocol buffers with
thousands of buckets so as to be applicable in a wide range of
contexts. This function provides a way to transform the histogram into
approximations of the quantile, median, mean, etc of the underlying
distribution. `Count(x)`

returns the number of
observations in the histogram.

Murray Stokely mstokely@google.com

`histogramtools-package`

and
`hist`

.

1 2 3 4 5 | ```
x <- hist(c(1,2,3), breaks=c(0,1,2,3,4,5,6,7,8,9), plot=FALSE)
Count(x)
ApproxMean(x)
ApproxQuantile(x, .5)
ApproxQuantile(x, c(.05, .95))
``` |

```
[1] 3
[1] 1.5
50%
1.5
Warning message:
In ApproxQuantile(x, 0.5) :
Quantiles computed for histograms with fewer than 100 buckets may be inaccurate. Consider using histograms with more granular buckets.
5% 95%
0.6 5.1
Warning message:
In ApproxQuantile(x, c(0.05, 0.95)) :
Quantiles computed for histograms with fewer than 100 buckets may be inaccurate. Consider using histograms with more granular buckets.
```

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