fp_format_one_dataset: Pre-process a single fluorescence polarization or anisotropy...
In Guilz/rfret: Analyze FRET Binding Data
Description
Usage
Arguments
Value
Examples
View source: R/pre_processing_functions.R
Description
This internal function pre-processes a single dataframe to
generate the Experiment, Type, Replicate, and
Observation columns required for subsequent processing by
fp_average_replicates.
Usage
1
fp_format_one_dataset(raw_data, experiment_name)
Arguments
raw_data
A single dataframe to process.
experiment_name
The name of the corresponding experiment.
Value
A dataframe containing 8 columns: Experiment, Type,
Replicate, Observation, polarization,
anisotropy, intensity and concentration.
Examples
1
2
3
4
## Not run:
fp_format_one_dataset(my_data, "my_experiment")
## End(Not run)
Guilz/rfret documentation built on Oct. 18, 2021, 2:14 p.m.
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Description Usage Arguments Value Examples
View source: R/pre_processing_functions.R
Description
This internal function pre-processes a single dataframe to
generate the Experiment, Type, Replicate, and
Observation columns required for subsequent processing by
fp_average_replicates.
Usage
1 | fp_format_one_dataset(raw_data, experiment_name)
|
Arguments
raw_data |
A single dataframe to process. |
experiment_name |
The name of the corresponding experiment. |
Value
A dataframe containing 8 columns: Experiment, Type,
Replicate, Observation, polarization,
anisotropy, intensity and concentration.
Examples
1 2 3 4 | ## Not run:
fp_format_one_dataset(my_data, "my_experiment")
## End(Not run)
|
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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