cpSta {ctrlGene} | R Documentation |

## Calculates descriptive statistics

### Description

This function calculates descriptive statistics of genes.

### Usage

```
cpSta(expression, ctVal = TRUE)
```

### Arguments

`expression` |
a matrix of expression levels. Each row corresponds to a sample and each column to a gene. |

`ctVal` |
a logical value indicating data type. If ct-values are input, ctVal=TRUE, otherwise, ctVal=FALSE. |

### Value

A matrix of descriptive statistics:

N: number of samples;

GM[CP]: the geometric mean of CP;

AM[CP]: the arithmetic mean of CP;

Min[CP] and Max [CP]: the extreme values of CP;

SD[+/- CP]: the standard deviation of the CP;

CV[CP]: the coefficient of variance expressed as a percentage on the CP level;

Min[x-fold] and Max [x-fold]: the extreme values of expression levels expressed as an absolute x-fold over- or under-regulation coefficient;

SD[+/- x-fold]: standard deviation of the absolute regulation coefficients.

### References

Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP. Biotechnol Lett (2004) <doi: 10.1023/B:BILE.0000019559.84305.47>

### Examples

```
FIBct
cpSta(FIBct)
```

*ctrlGene*version 1.0.1 Index]