| norm.200.m100.sd1.vs.m200.sd1.list {mi4p} | R Documentation |
A list of simulated datasets.
Description
This list of 100 datasets was simulated using the default values of the options of the protdatasim function and the set.seed value set to 4619.
Format
The format is: List of 100 data.frames.
- data.frame
200 obs. of 11 variables
- id.obs
int [1:200] 1 2 3 4 5 6 7 8 9 10 ...
- X1
num [1:200] 99.6 99.9 100.2 99.8 100.4 ...
- X2
num [1:200] 97.4 101.3 100.3 100.2 101.7 ...
- X3
num [1:200] 100.3 100.9 99.1 101.2 100.6 ...
- X4
num [1:200] 99.4 99.2 98.5 99.1 99.5 ...
- X5
num [1:200] 98.5 99.7 100 100.2 100.7 ...
- X6
num [1:200] 200 199 199 200 199 ...
- X7
num [1:200] 200 200 202 199 199 ...
- X8
num [1:200] 202 199 200 199 201 ...
- X9
num [1:200] 200 200 199 201 200 ...
- X10
num [1:200] 200 198 200 201 199 ...
- attr(*, "metadata")
'data.frame': 10 obs. of 3 variables:
- Sample.name
chr [1:10] "X1" "X2" "X3" "X4" ...
- Condition
Factor w/ 2 levels "A","B": 1 1 1 1 1 2 2 2 2 2
- Bio.Rep
int [1:10] 1 2 3 4 5 6 7 8 9 10
- ...
...
Author(s)
M. Chion, Ch. Carapito and F. Bertrand.
Source
We simulated the data.
References
M. Chion, Ch. Carapito and F. Bertrand (2021). Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics. arxiv:2108.07086. https://arxiv.org/abs/2108.07086.
Examples
data(norm.200.m100.sd1.vs.m200.sd1.list)
str(norm.200.m100.sd1.vs.m200.sd1.list)