Hypothesis testing
Simulation
Guide
Fluctuation Analysis Application using R package flan
Fluctuation Analysis Application using R package flan
Default values
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Data file(s)
Choose file for sample 1
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Choose file for sample 2
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Header
Two Sample Test
Settings
Unknown fitness
Random final counts
Distribution of mutant lifetime
Exponential (LD model)
Constant (H model)
Estimation Method
Maximum Likelihood (ML)
Generating Function (GF)
P0
Winsor parameter
Null hypotheses
Null hypothesis
Mutation number difference
Mutation number
Mutation probability difference
Mutation probability
Fitness difference
Fitness
Alternative hypotheses
Alternative hypothesis
Mutation probability difference
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Mutation probability
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Mutation number difference
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Mutation number
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Fitness difference
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Fitness
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Confidence level
Graphic settings
Number of class
Maximal value
Number of class (Sample 2)
Maximal value (Sample 2)
Sample 1
Death parameter
Plating efficiency
Mean final number of cells
Coef. variation final number of cells
Fitness
Sample 2
Death parameter
Plating efficiency
Mean final number of cells
Coef. variation final number of cells
Fitness
Visual representation
Result of the test
Fluctuation Analysis Application using R package flan
Sample
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Parameters
Sample size
Mutation number
Mutation probability
Fitness
Death parameter
Plating efficiency
Distribution of mutant lifetime
Exponential (LD model)
Constant (H model)
Log-Normal
Gamma
Random final counts
Distribution of final number of cells
Constant
Log-Normal
Gamma
Mean final number of cells
Estimation settings
Distribution of mutant lifetime
Exponential (LD model)
Constant (H model)
Estimation Method
Maximum Likelihood (ML)
Generating Function (GF)
P0
Unknown fitness
Winsor parameter
Death parameter
Plating efficiency
Fitness parameter
Graphic settings
Number of class
Max value
Sample
Visual representation
Estimation
Fluctuation Analysis Application using R package flan