Description Arguments Details Value References Examples

View source: R/cqv_versatile.R

Versatile function for the coefficient of quartile variation (cqv)

`x` |
An |

`na.rm` |
a logical value indicating whether |

`digits` |
integer indicating the number of decimal places to be used. |

`method` |
a scalar representing the type of confidence intervals required. The value should be any of the values "bonett", "norm", "basic", "perc", "bca" or "all". |

`R` |
integer indicating the number of bootstrap replicates. |

**Coefficient of Quartile Variation**The

*cqv*is a measure of relative dispersion that is based on interquartile range*(iqr)*. Since*cqv*is unitless, it is useful for comparison of variables with different units. It is also a measure of homogeneity`[1, 2]`

.

An object of type "list" which contains the estimate, the intervals, and the computation method. It has two components:

- $method
A description of statistical method used for the computations.

- $statistics
A data frame representing three vectors: est, lower and upper limits of 95% confidence interval

`(CI)`

:

**est:**`cqv*100`

**Bonett 95% CI:**It uses a centering adjustment which helps to equalize the tail error probabilities`[1, 2]`

.

**Normal approximation 95% CI:**The intervals calculated by the normal approximation`[3, 4]`

, using boot.ci.

**Basic bootstrap 95% CI:**The intervals calculated by the basic bootstrap method`[3, 4]`

, using boot.ci.

**Bootstrap percentile 95% CI:**The intervals calculated by the bootstrap percentile method`[3, 4]`

, using boot.ci.

**Adjusted bootstrap percentile (BCa) 95% CI:**The intervals calculated by the adjusted bootstrap percentile (BCa) method`[3, 4]`

, using boot.ci.

`[1]`

Bonett, DG., 2006, Confidence interval for a
coefficient of quartile variation, Computational Statistics & Data
Analysis, 50(11), 2953-7, DOI:
http://doi.org/10.1016/j.csda.2005.05.007

`[2]`

Altunkaynak, B., Gamgam, H., 2018, Bootstrap
confidence intervals for the coefficient of quartile variation, Simulation
and Computation, 1-9, DOI:
http://doi.org/10.1080/03610918.2018.1435800

`[3]`

Canty, A., & Ripley, B, 2017, boot: Bootstrap R
(S-Plus) Functions. R package version 1.3-20.

`[4]`

Davison, AC., & Hinkley, DV., 1997, Bootstrap Methods
and Their Applications. Cambridge University Press, Cambridge. ISBN
0-521-57391-2

1 2 3 4 5 6 7 | ```
x <- c(
0.2, 0.5, 1.1, 1.4, 1.8, 2.3, 2.5, 2.7, 3.5, 4.4,
4.6, 5.4, 5.4, 5.7, 5.8, 5.9, 6.0, 6.6, 7.1, 7.9
)
cqv_versatile(x)
cqv_versatile(x, na.rm = TRUE, digits = 2)
cqv_versatile(x, na.rm = TRUE, digits = 2, method = "bonett")
``` |

```
Loading required package: dplyr
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
$method
[1] "cqv = (q3-q1)/(q3+q1)"
$statistics
est
45.6
$method
[1] "cqv = (q3-q1)/(q3+q1)"
$statistics
est
45.62
$method
[1] "cqv with Bonett 95% CI"
$statistics
est lower upper
45.62 24.78 77.33
```

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