ssea.oneway {ALSM} R Documentation

## Planning of Sample Sizes with Estimation Approach Single factor ANOVA

### Description

This approach is to specify the major comparisons of interest. Determine the expected widths of the confidence intervals for various sample sizes, given standard deviation (sigma).

### Usage

```ssea.oneway(number.group,mc,sigma,n.weight,ci.width,type=c("s", "b"), alpha = 0.05)
```

### Arguments

 `number.group` number of treatments. `mc` matrix of contrast. each row determine one contrast. `sigma` Standard deviation. `n.weight` weight of sample size Corresponding to each treatment. `ci.width` width of confidence interval Corresponding to each contrast. `type` type of calculate confidence interval. `alpha` Confidence interval calculate with 1-alpha percent

### Value

sample size obtain based on confidence interval.

### References

Michael H. Kutner; Christopher J. Nachtsheim; John Neter; William Li. Applied Linear Statistical Models Fifth Edition. page 759.

### Examples

```mc=matrix(c(1,-1,0,0,.5,.5,-.5,-.5,1/3,1/3,1/3,-1),byrow=TRUE,nrow = 3)
ssea.oneway(4,mc,sigma=2,n.weight=c(1,1,1,1),ci.width=c(2.61,1.85,2.14)*2,type='s')
#### page 761
mc=matrix( c(1,0,0,-1,0,1,0,-1,0,0,1,-1),byrow=TRUE,nrow = 3)
ssea.oneway(4,mc,2,n.weight=c(1,1,1,2),ci.width=c(1,1,1)*2,type='b',alpha=.1)

#### problem 17.25 page 772
mc=matrix(c(1,-1,0,0,0,0,
.5,.5,-.5,-.5,0,0,
0,0,1,-1,0,0,
.25,.25,.25,.25,-.5,-.5),byrow=TRUE,nrow=4)
ssea.oneway(6,mc,.15,n.weight=rep(1,6),ci.width=rep(2*0.08,4),type='b',alpha=.05)

```

[Package ALSM version 0.2.0 Index]