CI_tp: Global confidence interval treshold from experimental...
In mkajano/HDXBoxeR: Analysis of Hydrogen-Deuterium Exchange Mass-Spectrometry Data
CI_tp R Documentation
Global confidence interval treshold from experimental standard deviation
Description
Calculation of global confidence interval using approach by for all protein states compared to first state in the data.frame.
Reliable Identification of Significant Differences in Differential Hydrogen Exchange-Mass Spectrometry Measurements Using a Hybrid Significance Testing Approach
Tyler S. Hageman and David D. Weis
Analytical Chemistry 2019 91 (13), 8008-8016 DOI: 10.1021/acs.analchem.9b01325
Usage
CI_tp(df, replicates = 3, alpha = 0.01)
Arguments
df
standard deviation dataframe.
replicates
number of replicates. Default set to 3.
alpha
significance level. Set as default to 0.01
Value
treshold for determining significance.
Examples
file_nm<-system.file("extdata", "All_results_table.csv", package = "HDXBoxeR")
a<- output_tc(file_nm, seq_match=FALSE)
sd<-sd_timepoint(df=a, replicates=3)
CI_tp(df=sd, replicates=3, alpha=0.01 )
CI_tp(sd)
mkajano/HDXBoxeR documentation built on April 23, 2024, 12:28 a.m.
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| CI_tp | R Documentation |
Global confidence interval treshold from experimental standard deviation
Description
Calculation of global confidence interval using approach by for all protein states compared to first state in the data.frame. Reliable Identification of Significant Differences in Differential Hydrogen Exchange-Mass Spectrometry Measurements Using a Hybrid Significance Testing Approach Tyler S. Hageman and David D. Weis Analytical Chemistry 2019 91 (13), 8008-8016 DOI: 10.1021/acs.analchem.9b01325
Usage
CI_tp(df, replicates = 3, alpha = 0.01)
Arguments
df |
standard deviation dataframe. |
replicates |
number of replicates. Default set to 3. |
alpha |
significance level. Set as default to 0.01 |
Value
treshold for determining significance.
Examples
file_nm<-system.file("extdata", "All_results_table.csv", package = "HDXBoxeR")
a<- output_tc(file_nm, seq_match=FALSE)
sd<-sd_timepoint(df=a, replicates=3)
CI_tp(df=sd, replicates=3, alpha=0.01 )
CI_tp(sd)
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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