Description Usage Arguments Value Author(s) See Also Examples

Create the definition of the log Transformation that will be applied on some
parameter via the `transform`

method. The definition of this function
is currently x<-log(x,logbase)*(r/d). The transformation would normally be
used to convert to a linear valued parameter to the natural logarithm scale.
Typically r and d are both equal to 1.0. Both must be positive. logbase =
10 corresponds to base 10 logarithm.

1 | ```
logTransform(transformationId="defaultLogTransform", logbase=10, r=1, d=1)
``` |

`transformationId` |
character string to identify the transformation |

`logbase` |
positive double that corresponds to the base of the logarithm. |

`r` |
positive double that corresponds to a scale factor. |

`d` |
positive double that corresponds to a scale factor |

Returns an object of class `transform`

.

B. Ellis, N. LeMeur

Other Transform functions:
`arcsinhTransform()`

,
`biexponentialTransform()`

,
`inverseLogicleTransform()`

,
`linearTransform()`

,
`lnTransform()`

,
`logicleTransform()`

,
`quadraticTransform()`

,
`scaleTransform()`

,
`splitScaleTransform()`

,
`truncateTransform()`

1 2 3 4 5 | ```
samp <- read.FCS(system.file("extdata",
"0877408774.B08", package="flowCore"))
logTrans <- logTransform(transformationId="log10-transformation", logbase=10, r=1, d=1)
trans <- transformList('FSC-H', logTrans)
dataTransform <- transform(samp, trans)
``` |

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