test.pairwise
Example of output from groupComparisonTMT function
Bundled with MSstatsTMT · exported, loads via data()
Class
list
Elements
3
Missing
0
Format
rda · gzip
version 3 · 2.0 KB
File
data/test.pairwise.rda
Fingerprint
e30f59ea
Format documented
Yes
Source
Source not stated
About this object
R's general-purpose container. Elements can be any type and any size. R object catalogue
Structure
Distinct
2
Nesting depth
2
Element length
0 – 8
Total length
8
Nested rows
60
Nested columns
8
Elements
Element
Type
Distinct
Missing
Summary
ComparisonResultlist80nested·60 rows nested
Element length
60 – 60
Total length
480
Nested rows
60
What is inside it
Element
Type
Distinct
Missing
Summary
Proteinfactor100P044066P065766P122776P239196P319476Q152336+4 more
P044066P065766P122776P239196P319476Q152336+4 more
Levels
10
Used
10
Rows per level
P044066P065766P122776P239196P319476Q152336Q161816Q9NSD96Q9UGP86Q9Y4506
Label
character
6
0
8 – 14 characters
log2FCnumeric600-0.1008 – 0.1015mean -0.0099
Min.
-0.1008
1st Qu.
-0.0307
Median
-0.0094
Mean
-0.0099
3rd Qu.
0.0037
Max.
0.1015
Std. dev
0.0342
Skewness
0.7305
Kurtosis
2.318
Outliers
41 low · 3 high
SEnumeric2100.0213 – 0.0461mean 0.0273
Min.
0.0213
1st Qu.
0.0219
Median
0.0249
Mean
0.0273
3rd Qu.
0.0302
Max.
0.0461
Std. dev
0.007
Skewness
1.769
Kurtosis
2.264
Outliers
60 low · 6 high
DFnumeric580111.891 – 111.893mean 111.9
Min.
111.891
1st Qu.
111.892
Median
111.892
Mean
111.892
3rd Qu.
111.892
Max.
111.893
Std. dev
0.0004
Skewness
-2.377
Kurtosis
4.216
Outliers
1812 low · 6 high
pvaluenumeric6000.0011 – 0.9959mean 0.4888
Min.
0.0011
1st Qu.
0.1698
Median
0.5254
Mean
0.4888
3rd Qu.
0.8297
Max.
0.9959
Std. dev
0.3285
Skewness
0.0892
Kurtosis
-1.53
adj.pvaluenumeric2800.0114 – 0.9959mean 0.6986
Min.
0.0114
1st Qu.
0.5478
Median
0.7881
Mean
0.6986
3rd Qu.
0.9322
Max.
0.9959
Std. dev
0.268
Skewness
-0.6394
Kurtosis
-0.8361
issuelogical0600 true·0 false
Longest missing run
60
Leading
60
Trailing
60
ModelQC
NULL
–
–
empty
FittedModel
NULL
–
–
empty
Every nested table has these 8 columns
- Protein
- Label
- log2FC
- SE
- DF
- pvalue
- adj.pvalue
- issue
Version history
| Version | Released | Size | Change | Stored as | Confidence |
|---|---|---|---|---|---|
| 3.23 | 2026-04-28 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.22 | 2025-10-29 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.21 | 2025-04-15 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.20 | 2025-03-05 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.19 | 2024-05-20 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.18 | 2023-10-24 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.17 | 2023-04-25 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.16 | 2023-02-26 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.15 | 2022-09-12 | 3 elements | Unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.14 | 2022-02-18 | 3 elements | Data changed Class, Type, Missing and Distinct unchanged | rda · gzip version 3 · 2.0 KB | exact |
| 3.13 | 2021-06-14 | 3 elements | Data changed Class data.frame → list · Missing 60 → 0 | rda · gzip version 3 · 2.0 KB | exact |
| 3.12 | 2020-12-20 | 60 × 8 | Unchanged | rda · gzip version 3 · 1.9 KB | exact |
| 3.11 | 2020-10-13 | 60 × 8 | Data changed Dimensions, Class and Missing unchanged | rda · gzip version 3 · 1.9 KB | exact |
| 3.10 | 2020-04-14 | 60 × 8 | Data changed Dimensions 60 × 7 → 60 × 8 · Missing 0 → 60 | rda · gzip version 3 · 1.7 KB | exact |
| 3.9 | 2019-05-04 | 60 × 7 | Data changed Dimensions, Class and Missing unchanged | rda · gzip version 3 · 1.6 KB | exact |
| 3.8 | 2019-02-25 | 60 × 7 | – | rda · gzip version 2 · 1.6 KB | exact |
Dimensions is the row and column count. Class is the chain of classes R records on the object, most specific first. The facts above give the short name for the same chain. Type is what the values in it are. Missing is how many values were recorded as absent. Distinct is how many different values were counted in the object.