| TaxaNorm_Results-class | R Documentation | 
S4 class to store TaxaNorm Results
TaxaNorm_Results(
  input_data,
  rawdata,
  normdata,
  ecdf,
  model_pars,
  converge,
  llk,
  final_df
)
## S4 method for signature 'TaxaNorm_Results'
input_data(x)
## S4 replacement method for signature 'TaxaNorm_Results'
input_data(x) <- value
## S4 method for signature 'TaxaNorm_Results'
rawdata(x)
## S4 replacement method for signature 'TaxaNorm_Results'
rawdata(x) <- value
## S4 method for signature 'TaxaNorm_Results'
normdata(x)
## S4 replacement method for signature 'TaxaNorm_Results'
normdata(x) <- value
## S4 method for signature 'TaxaNorm_Results'
ecdf(x)
## S4 replacement method for signature 'TaxaNorm_Results'
ecdf(x) <- value
## S4 method for signature 'TaxaNorm_Results'
model_pars(x)
## S4 replacement method for signature 'TaxaNorm_Results'
model_pars(x) <- value
## S4 method for signature 'TaxaNorm_Results'
converge(x)
## S4 replacement method for signature 'TaxaNorm_Results'
converge(x) <- value
## S4 method for signature 'TaxaNorm_Results'
llk(x)
## S4 replacement method for signature 'TaxaNorm_Results'
llk(x) <- value
## S4 method for signature 'TaxaNorm_Results'
final_df(x)
## S4 replacement method for signature 'TaxaNorm_Results'
final_df(x) <- value
input_data | 
 passed to   | 
rawdata | 
 Passed to   | 
normdata | 
 Passed to   | 
ecdf | 
 Passed to   | 
model_pars | 
 Passed to   | 
converge | 
 Passed to   | 
llk | 
 Passed to   | 
final_df | 
 Passed to   | 
x | 
 TaxaNorm_Results object  | 
value | 
 Replacement value  | 
All results from the TaxaNorm method and what was used to get those results
input_data(TaxaNorm_Results): Return input_data slot
rawdata(TaxaNorm_Results): Return rawdata slot
normdata(TaxaNorm_Results): Return normdata slot
ecdf(TaxaNorm_Results): Return ecdf slot
model_pars(TaxaNorm_Results): Return model_pars slot
converge(TaxaNorm_Results): Return converge slot
llk(TaxaNorm_Results): Return llk slot
final_df(TaxaNorm_Results): Return final_df slot
input_dataANY phyloseq input data
rawdatadata.frame Data frame of counts to use
normdatadata.frame Normalized Data
ecdfdata.frame ecdf
model_parsTaxaNorm_Model_Parameters list of model parameters
convergevector(<logical>) converge
llkANY llk
final_dfANY final_df
coefficients <-  matrix(c(1,2,3,4,5,6,7,8,9),nrow=3,ncol=3,byrow=TRUE)
mu <- matrix(c(1,2,3,4,5,6,7,8,9),nrow=3,ncol=3,byrow=TRUE)
theta <-  matrix(c(1,2,3,4,5,6,7,8,9),nrow=3,ncol=3,byrow=TRUE)
pi <- matrix(c(1,2,3,4,5,6,7,8,9),nrow=3,ncol=3,byrow=TRUE)
model_pars <- TaxaNorm_Model_Parameters(coefficients = coefficients,mu = mu,theta = theta,pi = pi)
data("TaxaNorm_Example_Input", package = "TaxaNorm")
rawdata <- data.frame(Taxa1 = c(1,2,3),Taxa2 = c(3,4,5),Taxa3 = c(6,7,8))
normdata <- data.frame(Taxa1 = c(-1.4,-1.09,-0.73),
Taxa2 = c( -0.36,0,0.36), Taxa3 = c(0.73,1.09,1.46))
ecdf <- data.frame(0.05,0.23,0.89)
converge <- c(TRUE,TRUE,FALSE)
llk <- c(1,1.5,0.5)
final_df <- data.frame(Taxa1 = c(1,2,3),Taxa2 = c(3,4,5),Taxa3 = c(6,7,8))
TaxaNorm_Results(input_data = TaxaNorm_Example_Input,
                                  rawdata = rawdata,
                                   normdata = normdata,
                                   ecdf = ecdf,
                                   model_pars = model_pars,
                                   converge = converge,
                                   llk = llk,
                                   final_df = final_df)
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