print.pod: Summary of POD objects

In POD: Probability of Detection for Qualitative PCR Methods

Description

Generate nicely formatted output of the POD object

Usage

## S3 method for class 'pod'
print(x, ...)

Arguments

x	An object of class 'pod'
...	Other parameters, not supported yet.

Value

Nothing is returned.

Examples

x <- cbind(
 X=c( 0.1,1,2,5,10,20 ),
 S=c( 0,5,6,6,6,6 ),
 N=c( 6,6,6,6,6,6 )
)
obj <- analyzeSingleLab(x=x)
print(obj)
# or just
obj

obj <- analyzeSingleLab(x=x, qLOD=c(50, 70, 95))
obj

Example output

##  PPP    OO   DDD
##  P  P  O  O  D  D
##  PPP  O    O D   D
##  P     O  O  D  D
##  P      OO   DDD
##
##  Loading package 'POD' version 1.2.0.
##  Type help(package=POD) for help.
##  Type citation(package='POD') for citation.
##  For your suggestions and bug-reports please contact: <[e-mail]>
##  Latest patches can also be found at: <https://github.com/markusboenn/POD>
##  

#######################
Summary of POD analysis
#######################

Data:
     X S N   ROD
1  0.1 0 6 0.000
2  1.0 5 6 0.833
3  2.0 6 6 1.000
4  5.0 6 6 1.000
5 10.0 6 6 1.000
6 20.0 6 6 1.000

Full GLM:
  LOD95 [95% CI]: 1.050 [0.996;0.996]
  lambda=1.792; b=10.629
  Warnings:
    glm.fit: fitted probabilities numerically 0 or 1 occurred

Simplified GLM (setting 'b' to fixed value):
  LOD95 [95% CI]: 1.790 [0.860;3.666]
  lambda=1.673; b=1.000
  Warnings:

#######################


#######################
Summary of POD analysis
#######################

Data:
     X S N   ROD
1  0.1 0 6 0.000
2  1.0 5 6 0.833
3  2.0 6 6 1.000
4  5.0 6 6 1.000
5 10.0 6 6 1.000
6 20.0 6 6 1.000

Full GLM:
  LOD95 [95% CI]: 1.050 [0.996;0.996]
  lambda=1.792; b=10.629
  Warnings:
    glm.fit: fitted probabilities numerically 0 or 1 occurred

Simplified GLM (setting 'b' to fixed value):
  LOD95 [95% CI]: 1.790 [0.860;3.666]
  lambda=1.673; b=1.000
  Warnings:

#######################


#######################
Summary of POD analysis
#######################

Data:
     X S N   ROD
1  0.1 0 6 0.000
2  1.0 5 6 0.833
3  2.0 6 6 1.000
4  5.0 6 6 1.000
5 10.0 6 6 1.000
6 20.0 6 6 1.000

Full GLM:
  LOD:
    LOD50 [95% CI]: 0.915 [0.996;0.996]
    LOD70 [95% CI]: 0.963 [0.996;0.996]
    LOD95 [95% CI]: 1.050 [0.996;0.996]
  lambda=1.792; b=10.629
  Warnings:
    glm.fit: fitted probabilities numerically 0 or 1 occurred

Simplified GLM (setting 'b' to fixed value):
  LOD:
    LOD50 [95% CI]: 0.414 [0.180;0.850]
    LOD70 [95% CI]: 0.720 [0.339;1.474]
    LOD95 [95% CI]: 1.790 [0.860;3.666]
  lambda=1.673; b=1.000
  Warnings:

#######################

POD documentation built on July 2, 2020, 3:16 a.m.