# cv: Coefficient of the experiment variation In TukeyC: Conventional Tukey Test

## Description

It obtains the coefficient of variation of the experiment obtained by models `lm`, `aov` and `aovlist`.

## Usage

 ```1 2``` ```cv(x, round=2) ```

## Arguments

 `x` A object of the class `lm`, `aov` or `aovlist`. `round` An integer value indicating the number of decimal places to be used. The default value is 2.

## Details

sqrt(MSerror)*100/mean(x)

## Value

 `x` named numeric vector

## Author(s)

Jos<e9> Cl<e1>udio Faria (joseclaudio.faria@gmail.com)
Enio Jelihovschi (eniojelihovs@gmail.com)
Ivan Bezerra Allaman (ivanalaman@gmail.com)

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37``` ```library(TukeyC) ## Completely Randomized Design (CRD - aov) data(CRD1) av1 <- with(CRD1, aov(y ~ x, data=dfm)) summary(av1) cv(av1) ## Randomized Complete Block Design (RCBD - aov) data(RCBD) av2 <- with(RCBD, aov(y ~ blk + tra, data=dfm)) summary(av2) cv(av2) ## Split-plot experiment (SPE - aovlist) data(SPE) av3 <- with(SPE, aov(y ~ blk + P*SP + Error(blk/P), data=dfm)) summary(av3) cv(av3) ## Split-split-plot experiment (SSPE - aovlist) data(SSPE) av4 <- with(SSPE, aov(y ~ blk + P*SP*SSP + Error(blk/P/SP), data=dfm)) summary(av4) cv(av4) ## storing res <- cv(av4) res[2:3] ```

### Example output

```Loading required package: doBy
Df Sum Sq Mean Sq F value   Pr(>F)
x            3 1224.9   408.3   11.08 0.000168 ***
Residuals   20  736.9    36.8
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
cv
11.78
Df Sum Sq Mean Sq F value Pr(>F)
blk          3   80.3   26.77   0.661  0.592
tra          4  795.7  198.92   4.914  0.014 *
Residuals   12  485.8   40.48
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
cv
4.44

Error: blk
Df Sum Sq Mean Sq
blk  5  413.9   82.78

Error: blk:P
Df Sum Sq Mean Sq F value Pr(>F)
P          2  17.26    8.63   0.515  0.613
Residuals 10 167.73   16.77

Error: Within
Df Sum Sq Mean Sq F value   Pr(>F)
SP         3 192.99   64.33  18.410 6.15e-08 ***
P:SP       6  21.46    3.58   1.023    0.423
Residuals 45 157.25    3.49
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
cv(a) cv(b)
25.57 11.67

Error: blk
Df Sum Sq Mean Sq
blk  3  15692    5231

Error: blk:P
Df Sum Sq Mean Sq F value Pr(>F)
P          2  196.9   98.44   1.368  0.324
Residuals  6  431.7   71.94

Error: blk:P:SP
Df Sum Sq Mean Sq F value Pr(>F)
SP         2    110    54.8   0.113  0.894
P:SP       4    250    62.5   0.129  0.970
Residuals 18   8735   485.3

Error: Within
Df Sum Sq Mean Sq F value   Pr(>F)
SSP         4  69420   17355  10.949 1.72e-07 ***
P:SSP       8    392      49   0.031        1
SP:SSP      8 138209   17276  10.899 3.68e-11 ***
P:SP:SSP   16    559      35   0.022        1
Residuals 108 171186    1585
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
cv(a) cv(b) cv(c)
2.18  5.67 10.24
cv(b) cv(c)
5.67 10.24
```

TukeyC documentation built on May 2, 2019, 8:50 a.m.