tests/testthat/_snaps/vascr_subset.md
In JamesHucklesby/vascr: Process Biological Impedance Sensing Data
Can subset correctly
Code
vascr_subset(growth.df)
Output
# A tibble: 139,230 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 139,220 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, time = 40)
Output
# A tibble: 3,570 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 40 Alpha A01 5.17 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 40 Alpha A02 4.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 40 Alpha A03 5.12 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 40 Alpha B01 5.22 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 40 Alpha B02 5.36 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 40 Alpha B03 5.6 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 40 Alpha C01 5.19 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 40 Alpha C02 5.32 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 40 Alpha C03 4.95 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 40 Alpha D01 4.51 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 3,560 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, time = c(40, 60))
Output
# A tibble: 17,850 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 40 Alpha A01 5.17 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 40 Alpha A02 4.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 40 Alpha A03 5.12 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 40 Alpha B01 5.22 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 40 Alpha B02 5.36 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 40 Alpha B03 5.6 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 40 Alpha C01 5.19 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 40 Alpha C02 5.32 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 40 Alpha C03 4.95 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 40 Alpha D01 4.51 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 17,840 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, time = NULL)
Output
# A tibble: 139,230 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 139,220 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "Rb")
Output
# A tibble: 2,574 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <fct> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Rb A02 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Rb A03 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Rb B01 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Rb B03 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Rb C01 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Rb C02 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Rb C03 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Rb D01 0 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 2,564 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "R")
Output
# A tibble: 25,272 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <fct> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 R A01 413. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
2 10 R A01 470. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
3 15 R A01 556. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
4 20 R A01 630. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
5 25 R A01 677. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
6 30 R A01 695. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
7 35 R A01 729. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
8 40 R A01 768. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
9 45 R A01 801. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
10 50 R A01 815. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
# i 25,262 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = "A1")
Output
# A tibble: 1,950 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Cm A01 37.9 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Drift A01 -0.94 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
5 5 RMSE A01 0.01 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
6 10 Alpha A01 3.34 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
7 10 Cm A01 18.8 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
8 10 Drift A01 -1.82 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
9 10 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
10 10 RMSE A01 0.02 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
# i 1,940 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = "B12")
Message
! [B12] corrected to [B02]. Please check the argeuments for your functions are correctly typed.
Output
# A tibble: 1,950 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
2 5 Cm B02 37.7 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
3 5 Drift B02 -1.1 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
4 5 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 RMSE B02 0.01 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 10 Alpha B02 3.4 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 10 Cm B02 18.1 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
8 10 Drift B02 -2.16 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
9 10 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
10 10 RMSE B02 0.02 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
# i 1,940 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = "B20")
Message
! Well NA is not a valid well name, please check your input data
! [NA] corrected to [A01]. Please check the argeuments for your functions are correctly typed.
Output
# A tibble: 1,950 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Cm A01 37.9 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Drift A01 -0.94 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
5 5 RMSE A01 0.01 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
6 10 Alpha A01 3.34 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
7 10 Cm A01 18.8 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
8 10 Drift A01 -1.82 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
9 10 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
10 10 RMSE A01 0.02 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
# i 1,940 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = c("B2", "B03"))
Output
# A tibble: 3,900 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
2 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
3 5 Cm B02 37.7 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
4 5 Cm B03 49.0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Drift B02 -1.1 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Drift B03 -0.58 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
8 5 Rb B03 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
9 5 RMSE B02 0.01 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
10 5 RMSE B03 0.01 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
# i 3,890 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = c("-A01", "-B3"))
Output
# A tibble: 135,330 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
4 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
6 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
7 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
9 5 Alpha D02 2.02 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
10 5 Alpha D03 2.05 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 135,320 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, frequency = 4000)
Output
# A tibble: 14,040 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 C A01 104. 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
2 10 C A01 98.8 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
3 15 C A01 92.3 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
4 20 C A01 88.4 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
5 25 C A01 86.9 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
6 30 C A01 86.8 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
7 35 C A01 86.7 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
8 40 C A01 87.9 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
9 45 C A01 90.0 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
10 50 C A01 92.3 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
# i 14,030 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df %>% mutate(Frequency = as.character(Frequency)),
frequency = "4000")
Output
# A tibble: 14,040 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 C A01 104. 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
2 10 C A01 98.8 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
3 15 C A01 92.3 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
4 20 C A01 88.4 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
5 25 C A01 86.9 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
6 30 C A01 86.8 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
7 35 C A01 86.7 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
8 40 C A01 87.9 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
9 45 C A01 90.0 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
10 50 C A01 92.3 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
# i 14,030 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, experiment = 1)
Output
# A tibble: 46,215 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 46,205 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, experiment = 1)
Output
# A tibble: 46,215 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 46,205 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, instrument = "ECIS")
Output
# A tibble: 139,230 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 139,220 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "Rb", sampleid = c(1:3))
Output
# A tibble: 1,053 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <fct> <chr> <dbl> <fct> <dbl> <fct> <chr> <chr> <chr>
1 5 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Rb A02 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Rb A03 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Rb B01 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Rb B03 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Rb C01 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Rb C02 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Rb C03 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 10 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
# i 1,043 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "Rb", sampleid = c(8))
Output
# A tibble: 117 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <fct> <chr> <dbl> <fct> <dbl> <fct> <chr> <chr> <chr>
1 5 Rb H07 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
2 5 Rb H08 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
3 5 Rb H09 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
4 10 Rb H07 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
5 10 Rb H08 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
6 10 Rb H09 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
7 15 Rb H07 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
8 15 Rb H08 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
9 15 Rb H09 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
10 20 Rb H07 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
# i 107 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, subsample = 100)
Output
# A tibble: 3,570 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 3,560 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "Rb", sampleid = 10)
Message
! No data returned from dataset subset. Check your frequencies, times and units are present in the dataset
Output
# A tibble: 0 x 12
# i 12 variables: Time <dbl>, Unit <fct>, Well <chr>, Value <dbl>,
# Sample <fct>, Frequency <dbl>, Experiment <fct>, cells <chr>, line <chr>,
# Instrument <chr>, SampleID <int>, Excluded <chr>
JamesHucklesby/vascr documentation built on July 16, 2025, 8:16 p.m.
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Can subset correctly
Code
vascr_subset(growth.df)
Output
# A tibble: 139,230 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 139,220 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, time = 40)
Output
# A tibble: 3,570 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 40 Alpha A01 5.17 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 40 Alpha A02 4.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 40 Alpha A03 5.12 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 40 Alpha B01 5.22 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 40 Alpha B02 5.36 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 40 Alpha B03 5.6 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 40 Alpha C01 5.19 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 40 Alpha C02 5.32 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 40 Alpha C03 4.95 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 40 Alpha D01 4.51 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 3,560 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, time = c(40, 60))
Output
# A tibble: 17,850 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 40 Alpha A01 5.17 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 40 Alpha A02 4.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 40 Alpha A03 5.12 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 40 Alpha B01 5.22 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 40 Alpha B02 5.36 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 40 Alpha B03 5.6 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 40 Alpha C01 5.19 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 40 Alpha C02 5.32 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 40 Alpha C03 4.95 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 40 Alpha D01 4.51 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 17,840 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, time = NULL)
Output
# A tibble: 139,230 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 139,220 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "Rb")
Output
# A tibble: 2,574 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <fct> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Rb A02 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Rb A03 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Rb B01 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Rb B03 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Rb C01 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Rb C02 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Rb C03 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Rb D01 0 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 2,564 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "R")
Output
# A tibble: 25,272 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <fct> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 R A01 413. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
2 10 R A01 470. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
3 15 R A01 556. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
4 20 R A01 630. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
5 25 R A01 677. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
6 30 R A01 695. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
7 35 R A01 729. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
8 40 R A01 768. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
9 45 R A01 801. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
10 50 R A01 815. 35,000_c~ 1000 1 : Exper~ 35000 HCME~ ECIS
# i 25,262 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = "A1")
Output
# A tibble: 1,950 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Cm A01 37.9 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Drift A01 -0.94 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
5 5 RMSE A01 0.01 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
6 10 Alpha A01 3.34 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
7 10 Cm A01 18.8 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
8 10 Drift A01 -1.82 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
9 10 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
10 10 RMSE A01 0.02 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
# i 1,940 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = "B12")
Message
! [B12] corrected to [B02]. Please check the argeuments for your functions are correctly typed.
Output
# A tibble: 1,950 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
2 5 Cm B02 37.7 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
3 5 Drift B02 -1.1 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
4 5 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 RMSE B02 0.01 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 10 Alpha B02 3.4 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 10 Cm B02 18.1 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
8 10 Drift B02 -2.16 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
9 10 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
10 10 RMSE B02 0.02 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
# i 1,940 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = "B20")
Message
! Well NA is not a valid well name, please check your input data
! [NA] corrected to [A01]. Please check the argeuments for your functions are correctly typed.
Output
# A tibble: 1,950 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Cm A01 37.9 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Drift A01 -0.94 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
5 5 RMSE A01 0.01 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
6 10 Alpha A01 3.34 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
7 10 Cm A01 18.8 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
8 10 Drift A01 -1.82 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
9 10 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
10 10 RMSE A01 0.02 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
# i 1,940 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = c("B2", "B03"))
Output
# A tibble: 3,900 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
2 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
3 5 Cm B02 37.7 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
4 5 Cm B03 49.0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Drift B02 -1.1 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Drift B03 -0.58 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
8 5 Rb B03 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
9 5 RMSE B02 0.01 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
10 5 RMSE B03 0.01 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
# i 3,890 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, well = c("-A01", "-B3"))
Output
# A tibble: 135,330 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
4 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
6 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
7 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
9 5 Alpha D02 2.02 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
10 5 Alpha D03 2.05 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 135,320 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, frequency = 4000)
Output
# A tibble: 14,040 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 C A01 104. 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
2 10 C A01 98.8 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
3 15 C A01 92.3 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
4 20 C A01 88.4 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
5 25 C A01 86.9 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
6 30 C A01 86.8 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
7 35 C A01 86.7 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
8 40 C A01 87.9 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
9 45 C A01 90.0 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
10 50 C A01 92.3 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
# i 14,030 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df %>% mutate(Frequency = as.character(Frequency)),
frequency = "4000")
Output
# A tibble: 14,040 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 C A01 104. 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
2 10 C A01 98.8 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
3 15 C A01 92.3 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
4 20 C A01 88.4 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
5 25 C A01 86.9 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
6 30 C A01 86.8 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
7 35 C A01 86.7 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
8 40 C A01 87.9 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
9 45 C A01 90.0 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
10 50 C A01 92.3 35,000_c~ 4000 1 : Exper~ 35000 HCME~ ECIS
# i 14,030 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, experiment = 1)
Output
# A tibble: 46,215 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 46,205 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, experiment = 1)
Output
# A tibble: 46,215 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 46,205 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, instrument = "ECIS")
Output
# A tibble: 139,230 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 139,220 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "Rb", sampleid = c(1:3))
Output
# A tibble: 1,053 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <fct> <chr> <dbl> <fct> <dbl> <fct> <chr> <chr> <chr>
1 5 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Rb A02 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Rb A03 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Rb B01 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Rb B02 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Rb B03 0 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Rb C01 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Rb C02 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Rb C03 0 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 10 Rb A01 0 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
# i 1,043 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "Rb", sampleid = c(8))
Output
# A tibble: 117 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <fct> <chr> <dbl> <fct> <dbl> <fct> <chr> <chr> <chr>
1 5 Rb H07 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
2 5 Rb H08 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
3 5 Rb H09 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
4 10 Rb H07 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
5 10 Rb H08 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
6 10 Rb H09 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
7 15 Rb H07 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
8 15 Rb H08 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
9 15 Rb H09 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
10 20 Rb H07 0 0_cells ~ 0 3 : Exper~ 0 HCME~ ECIS
# i 107 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, subsample = 100)
Output
# A tibble: 3,570 x 12
Time Unit Well Value Sample Frequency Experiment cells line Instrument
<dbl> <chr> <chr> <dbl> <chr> <dbl> <fct> <chr> <chr> <chr>
1 5 Alpha A01 2.69 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
2 5 Alpha A02 2.89 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
3 5 Alpha A03 2.71 35,000_c~ 0 1 : Exper~ 35000 HCME~ ECIS
4 5 Alpha B01 2.52 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
5 5 Alpha B02 2.69 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
6 5 Alpha B03 2.34 30,000_c~ 0 1 : Exper~ 30000 HCME~ ECIS
7 5 Alpha C01 2.15 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
8 5 Alpha C02 2.35 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
9 5 Alpha C03 2.4 25,000_c~ 0 1 : Exper~ 25000 HCME~ ECIS
10 5 Alpha D01 1.85 20,000_c~ 0 1 : Exper~ 20000 HCME~ ECIS
# i 3,560 more rows
# i 2 more variables: SampleID <int>, Excluded <chr>
Code
vascr_subset(growth.df, unit = "Rb", sampleid = 10)
Message
! No data returned from dataset subset. Check your frequencies, times and units are present in the dataset
Output
# A tibble: 0 x 12
# i 12 variables: Time <dbl>, Unit <fct>, Well <chr>, Value <dbl>,
# Sample <fct>, Frequency <dbl>, Experiment <fct>, cells <chr>, line <chr>,
# Instrument <chr>, SampleID <int>, Excluded <chr>
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