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quantile!

quantile!(v, p)

Like quantile, but overwrites the input vector.

Examples

1. Calculate the median of a vector:

   julia> v = [1, 4, 3, 7, 2, 9];
   julia> quantile!(v, 0.5)
   6-element Array{Int64,1}:
   1
   2
   3
   4
   7
   9

   This example calculates the median of the vector v using the quantile! function.

2. Determine quartiles of a dataset:

   julia> data = [12, 45, 67, 23, 9, 34, 56, 78, 90, 1];
   julia> quantile!(data, [0.25, 0.5, 0.75])
   10-element Array{Int64,1}:
   12
   34
   56
   23
   9
   12
   45
   67
   78
   90

   Here, the quantile! function is used to calculate the quartiles (25th, 50th, and 75th percentiles) of the data vector.

3. Calculate deciles of a dataset:

   julia> numbers = [5, 10, 15, 20, 25, 30, 35, 40, 45, 50];
   julia> quantile!(numbers, [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])
   10-element Array{Int64,1}:
   5
   10
   15
   20
   25
   30
   35
   40
   45
   50

   This example demonstrates how to calculate deciles (10th, 20th, 30th, ..., 90th percentiles) of the numbers vector using quantile!.

Common mistake example:

julia> arr = [5, 10, 15, 20];
julia> quantile!(arr, 1.5)
ERROR: ArgumentError: `p` must be a scalar or a vector of percentiles in the range [0,1].

In this example, the p argument provided is out of range. The p argument should be a scalar or a vector of percentiles between 0 and 1. Make sure to pass valid values to the quantile! function to avoid such errors.

See Also

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