example4: example4
In nwstephens/RmixADAexamples: R package version of the schaarschmidt/mixADAexamples github repository.
Description
Usage
Format
Details
Description
spiked and unspiked: illustrating CCP estimation
Usage
1
Format
A data frame with four variables: result, run,
ID, and sampleType.
Details
ID: unique identifcator of 40 individual biological samples
run: Unique ID of 6 technical runs (i.e., NOT representing 96 well plates)
for each ID there are 2 unspiked and 2 spiked replications at each run
sampleType: distinguishes negative controls ('NC'), 'spiked' and 'unspiked' observations
Note: variable ID has exactly the same values for spiked and unspiked observations obtained from the same biological sample
normalization: log-transform
model structure: ID crossed with run
irrespective of different choices of variance components: 18 responders, 22 non-responders
after log-transformation: no deviatuion from normality in the non-responder subgroup
for CCP estimation: choose sampleType=unspiked in the normalization / SCP part
and sampleType = spiked in the CCP part
nwstephens/RmixADAexamples documentation built on May 20, 2019, 2:40 p.m.
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Description Usage Format Details
Description
spiked and unspiked: illustrating CCP estimation
Usage
1 |
Format
A data frame with four variables: result, run,
ID, and sampleType.
Details
ID: unique identifcator of 40 individual biological samples run: Unique ID of 6 technical runs (i.e., NOT representing 96 well plates) for each ID there are 2 unspiked and 2 spiked replications at each run
sampleType: distinguishes negative controls ('NC'), 'spiked' and 'unspiked' observations
Note: variable ID has exactly the same values for spiked and unspiked observations obtained from the same biological sample
normalization: log-transform model structure: ID crossed with run
irrespective of different choices of variance components: 18 responders, 22 non-responders
after log-transformation: no deviatuion from normality in the non-responder subgroup
for CCP estimation: choose sampleType=unspiked in the normalization / SCP part and sampleType = spiked in the CCP part
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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