calculateIntervalFits: Calculate fit parameters for every subset of data
In gscreend: Analysis of pooled genetic screens
Description
Usage
Arguments
Value
Description
Calculate fit parameters for every subset of data
Usage
1
calculateIntervalFits(object, quant1, quant2)
Arguments
object
PoolScreenExp object
quant1
lower quantile for least quantile of squares regression
(default: 0.1)
quant2
upper quantile for least quantile of squares regression
(default: 0.9)
Value
object
gscreend documentation built on Nov. 8, 2020, 7:18 p.m.
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Description Usage Arguments Value
Description
Calculate fit parameters for every subset of data
Usage
1 | calculateIntervalFits(object, quant1, quant2)
|
Arguments
object |
PoolScreenExp object |
quant1 |
lower quantile for least quantile of squares regression (default: 0.1) |
quant2 |
upper quantile for least quantile of squares regression (default: 0.9) |
Value
object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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