ToyModelPB
Bundled with CNORdt · ships in inst/extdata, read by path with system.file()
Class
data.frame
Dimensions
160 × 17
Missing
0
Format
csv · none
15 KB
File
inst/extdata/ToyModelPB.csv
Fingerprint
d4919824
About this object
A list of equal-length columns presented as a table. Almost everything rectangular in R inherits from it, which is why the class column so often has more than one entry. R object catalogue
Columns
Column
Type
Distinct
Missing
Summary
TR.Cell.CellLineinteger101 – 1mean 1
Min.
1
1st Qu.
1
Median
1
Mean
1
3rd Qu.
1
Max.
1
Std. dev
0
Order
constant
TR.egfinteger200 – 1mean 0.6
Min.
0
1st Qu.
0
Median
1
Mean
0.6
3rd Qu.
1
Max.
1
Std. dev
0.4914
Skewness
-0.4044
Kurtosis
-1.848
Zeros
64
TR.tnfainteger200 – 1mean 0.6
Min.
0
1st Qu.
0
Median
1
Mean
0.6
3rd Qu.
1
Max.
1
Std. dev
0.4914
Skewness
-0.4044
Kurtosis
-1.848
Zeros
64
TR.pi3kiinteger200 – 1mean 0.3
Min.
0
1st Qu.
0
Median
0
Mean
0.3
3rd Qu.
1
Max.
1
Std. dev
0.4597
Skewness
0.8647
Kurtosis
-1.26
Zeros
112
TR.raf1iinteger200 – 1mean 0.3
Min.
0
1st Qu.
0
Median
0
Mean
0.3
3rd Qu.
1
Max.
1
Std. dev
0.4597
Skewness
0.8647
Kurtosis
-1.26
Zeros
112
DA.raf1integer1600 – 30mean 15
Min.
0
1st Qu.
7.5
Median
15
Mean
15
3rd Qu.
22.5
Max.
30
Std. dev
9.2485
Skewness
-1.421e-15
Kurtosis
-1.232
Zeros
10
Order
ascending
DA.erkinteger1600 – 30mean 15
Min.
0
1st Qu.
7.5
Median
15
Mean
15
3rd Qu.
22.5
Max.
30
Std. dev
9.2485
Skewness
-1.421e-15
Kurtosis
-1.232
Zeros
10
Order
ascending
DA.ap1integer1600 – 30mean 15
Min.
0
1st Qu.
7.5
Median
15
Mean
15
3rd Qu.
22.5
Max.
30
Std. dev
9.2485
Skewness
-1.421e-15
Kurtosis
-1.232
Zeros
10
Order
ascending
DA.gsk3integer1600 – 30mean 15
Min.
0
1st Qu.
7.5
Median
15
Mean
15
3rd Qu.
22.5
Max.
30
Std. dev
9.2485
Skewness
-1.421e-15
Kurtosis
-1.232
Zeros
10
Order
ascending
DA.p38integer1600 – 30mean 15
Min.
0
1st Qu.
7.5
Median
15
Mean
15
3rd Qu.
22.5
Max.
30
Std. dev
9.2485
Skewness
-1.421e-15
Kurtosis
-1.232
Zeros
10
Order
ascending
DA.nfkbinteger1600 – 30mean 15
Min.
0
1st Qu.
7.5
Median
15
Mean
15
3rd Qu.
22.5
Max.
30
Std. dev
9.2485
Skewness
-1.421e-15
Kurtosis
-1.232
Zeros
10
Order
ascending
DV.raf1numeric16000.0573 – 0.8727mean 0.2845
Min.
0.0573
1st Qu.
0.1292
Median
0.1715
Mean
0.2845
3rd Qu.
0.3528
Max.
0.8727
Std. dev
0.2278
Skewness
1.27
Kurtosis
0.3018
Outliers
160 low · 16 high
DV.erknumeric16000.0441 – 0.9539mean 0.3031
Min.
0.0441
1st Qu.
0.1359
Median
0.1718
Mean
0.3031
3rd Qu.
0.3238
Max.
0.9539
Std. dev
0.2654
Skewness
1.272
Kurtosis
0.0044
Outliers
300 low · 30 high
DV.ap1numeric16000 – 0.9763mean 0.638
Min.
0
1st Qu.
0.3601
Median
0.7856
Mean
0.638
3rd Qu.
0.8694
Max.
0.9763
Std. dev
0.2928
Skewness
-0.7618
Kurtosis
-1.031
Zeros
1
DV.gsk3numeric16000.0711 – 0.9902mean 0.6408
Min.
0.0711
1st Qu.
0.2151
Median
0.8725
Mean
0.6408
3rd Qu.
0.904
Max.
0.9902
Std. dev
0.3452
Skewness
-0.6304
Kurtosis
-1.489
DV.p38numeric16000.0305 – 0.8218mean 0.2104
Min.
0.0305
1st Qu.
0.1261
Median
0.1549
Mean
0.2104
3rd Qu.
0.2249
Max.
0.8218
Std. dev
0.1556
Skewness
2.143
Kurtosis
4.424
Outliers
220 low · 22 high
DV.nfkbnumeric16000.07 – 0.802mean 0.3418
Min.
0.07
1st Qu.
0.1622
Median
0.2893
Mean
0.3418
3rd Qu.
0.5034
Max.
0.802
Std. dev
0.2092
Skewness
0.6097
Kurtosis
-0.9796
Version history
| Version | Released | Rows × Cols | Change | Stored as | Confidence |
|---|---|---|---|---|---|
| 3.23 | 2026-04-28 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.22 | 2025-10-29 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.21 | 2025-04-15 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.20 | 2024-10-29 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.19 | 2024-04-30 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.18 | 2023-10-24 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.17 | 2023-04-25 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.16 | 2022-11-01 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.15 | 2022-04-26 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.14 | 2021-10-26 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.13 | 2021-05-19 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.12 | 2020-10-27 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.11 | 2020-04-27 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.10 | 2019-10-29 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.9 | 2019-05-02 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.8 | 2019-01-04 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.7 | 2018-04-30 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.6 | 2017-10-30 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.5 | 2017-04-24 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.4 | 2016-10-17 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.3 | 2016-05-03 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.2 | 2015-10-13 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.1 | 2015-04-16 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 3.0 | 2014-10-13 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 2.14 | 2014-04-11 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 2.13 | 2013-10-14 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 2.12 | 2013-04-03 | 160 × 17 | Unchanged | csv · none 15 KB | degraded |
| 2.11 | 2012-10-01 | 160 × 17 | – | csv · none 15 KB | degraded |