norm.200.m100.sd1.vs.m200.sd1.list | R Documentation |
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.
The format is: List of 100 data.frames.
200 obs. of 11 variables
int [1:200] 1 2 3 4 5 6 7 8 9 10 ...
num [1:200] 99.6 99.9 100.2 99.8 100.4 ...
num [1:200] 97.4 101.3 100.3 100.2 101.7 ...
num [1:200] 100.3 100.9 99.1 101.2 100.6 ...
num [1:200] 99.4 99.2 98.5 99.1 99.5 ...
num [1:200] 98.5 99.7 100 100.2 100.7 ...
num [1:200] 200 199 199 200 199 ...
num [1:200] 200 200 202 199 199 ...
num [1:200] 202 199 200 199 201 ...
num [1:200] 200 200 199 201 200 ...
num [1:200] 200 198 200 201 199 ...
'data.frame': 10 obs. of 3 variables:
chr [1:10] "X1" "X2" "X3" "X4" ...
Factor w/ 2 levels "A","B": 1 1 1 1 1 2 2 2 2 2
int [1:10] 1 2 3 4 5 6 7 8 9 10
...
M. Chion, Ch. Carapito and F. Bertrand.
We simulated the data.
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. \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1371/journal.pcbi.1010420")}.
data(norm.200.m100.sd1.vs.m200.sd1.list)
str(norm.200.m100.sd1.vs.m200.sd1.list)
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