tests/testthat/_snaps/vascr_naming.md

In JamesHucklesby/vascr: Process Biological Impedance Sensing Data

Samples work

Code
  vascr_import_map(map_1)
Output
  # A tibble: 12 x 3
     Sample                         SampleID Well 
     <chr>                             <int> <chr>
   1 10 nM Treatment 1 + 1nm water         1 A01  
   2 10 nM Treatment 1 + 1nm water         1 A02  
   3 10 nM Treatment 1 + 1nm water         1 A03  
   4 100 nM Treatment 1 + 1nm water        3 B01  
   5 100 nM Treatment 1 + 1nm water        3 B02  
   6 100 nM Treatment 1 + 1nm water        3 B03  
   7 10 nM Treatment 2 + 1nm water         2 C04  
   8 10 nM Treatment 2 + 1nm water         2 C05  
   9 10 nM Treatment 2 + 1nm water         2 C06  
  10 100 nM Treatment 2 + 1nm water        4 D01  
  11 100 nM Treatment 2 + 1nm water        4 D02  
  12 100 nM Treatment 2 + 1nm water        4 D03

Code
  vascr_import_map(map_2)
Output
  # A tibble: 12 x 3
     Well  Sample                         SampleID
     <chr> <chr>                             <int>
   1 A01   10 nM Treatment 1 + 1nm water         1
   2 A02   10 nM Treatment 1 + 1nm water         1
   3 A03   10 nM Treatment 1 + 1nm water         1
   4 B01   100 nM Treatment 1 + 1nm water        3
   5 B02   100 nM Treatment 1 + 1nm water        3
   6 B03   100 nM Treatment 1 + 1nm water        3
   7 C01   10 nM Treatment 2 + 1nm water         2
   8 C02   10 nM Treatment 2 + 1nm water         2
   9 C03   10 nM Treatment 2 + 1nm water         2
  10 C01   100 nM Treatment 2 + 1nm water        4
  11 C02   100 nM Treatment 2 + 1nm water        4
  12 C03   100 nM Treatment 2 + 1nm water        4

i In argument: `across(c(-"Column", -"Row"))`.
Caused by error in `across()`:
! Can't select columns that don't exist.
x Column `Column` doesn't exist.

Code
  vascr_import_map(map_4)
Output
  # A tibble: 12 x 3
     SampleID Sample                         Well 
        <dbl> <chr>                          <chr>
   1        1 10 nM Treatment 1 + 1nm water  A01  
   2        1 10 nM Treatment 1 + 1nm water  A02  
   3        1 10 nM Treatment 1 + 1nm water  A03  
   4        2 100 nM Treatment 1 + 1nm water B01  
   5        2 100 nM Treatment 1 + 1nm water B02  
   6        2 100 nM Treatment 1 + 1nm water B03  
   7        3 10 nM Treatment 2 + 1nm water  A01  
   8        3 10 nM Treatment 2 + 1nm water  A02  
   9        3 10 nM Treatment 2 + 1nm water  A03  
  10        4 100 nM Treatment 2 + 1nm water D01  
  11        4 100 nM Treatment 2 + 1nm water D02  
  12        4 100 nM Treatment 2 + 1nm water D03

Code
  vascr_import_map(map_5)
Output
  # A tibble: 12 x 3
     SampleID Sample                         Well 
        <dbl> <chr>                          <chr>
   1        1 10 nM Treatment 1 + 1nm water  A01  
   2        1 10 nM Treatment 1 + 1nm water  A02  
   3        1 10 nM Treatment 1 + 1nm water  A03  
   4        2 100 nM Treatment 1 + 1nm water B01  
   5        2 100 nM Treatment 1 + 1nm water B02  
   6        2 100 nM Treatment 1 + 1nm water B03  
   7        3 10 nM Treatment 1 + 1nm water  C01  
   8        3 10 nM Treatment 1 + 1nm water  C02  
   9        3 10 nM Treatment 1 + 1nm water  C03  
  10        4 100 nM Treatment 2 + 1nm water D01  
  11        4 100 nM Treatment 2 + 1nm water D02  
  12        4 100 nM Treatment 2 + 1nm water D03

Code
  vascr_import_map(map_6)
Output
  # A tibble: 12 x 3
     SampleID Sample                         Well 
        <dbl> <chr>                          <chr>
   1        1 10 nM Treatment 1 + 1nm water  A01  
   2        1 10 nM Treatment 1 + 1nm water  A02  
   3        1 10 nM Treatment 1 + 1nm water  A03  
   4        2 100 nM Treatment 1 + 1nm water B01  
   5        2 100 nM Treatment 1 + 1nm water B02  
   6        2 100 nM Treatment 1 + 1nm water B03  
   7        3 10 nM Treatment 2 + 1nm water  C04  
   8        3 10 nM Treatment 2 + 1nm water  C05  
   9        3 10 nM Treatment 2 + 1nm water  C06  
  10        4 100 nM Treatment 2 + 1nm water D01  
  11        4 100 nM Treatment 2 + 1nm water D02  
  12        4 100 nM Treatment 2 + 1nm water D03

Code
  vascr_import_map(map_7)
Output
  # A tibble: 12 x 3
     SampleID Sample                                          Well 
        <dbl> <chr>                                           <chr>
   1        1 10 nM Treatment 1 + 1nm water + 6nm Treatment 2 A01  
   2        1 10 nM Treatment 1 + 1nm water + 6nm Treatment 2 A02  
   3        1 10 nM Treatment 1 + 1nm water + 6nm Treatment 2 A03  
   4        2 100 nM Treatment 1 + 1nm water                  B01  
   5        2 100 nM Treatment 1 + 1nm water                  B02  
   6        2 100 nM Treatment 1 + 1nm water                  B03  
   7        3 10 nM Treatment 2 + 1nm water                   C04  
   8        3 10 nM Treatment 2 + 1nm water                   C05  
   9        3 10 nM Treatment 2 + 1nm water                   C06  
  10        4 100 nM Treatment 2 + 1nm water                  D01  
  11        4 100 nM Treatment 2 + 1nm water                  D02  
  12        4 100 nM Treatment 2 + 1nm water                  D03

Code
  vascr_import_map(map8)
Output
  # A tibble: 6 x 3
    Well  Sample SampleID
    <chr> <chr>     <int>
  1 A01   S             1
  2 B03   SM            2
  3 C01   S             1
  4 D01   SM            2
  5 E01   S             1
  6 F01   St            3

Code
  vascr_explode(growth.df)
Output
  # A tibble: 146,370 x 14
      Time Unit  Well  Value Sample  Frequency Experiment cells.x line  Instrument
     <dbl> <chr> <chr> <dbl> <chr>       <dbl> <fct>      <chr>   <chr> <chr>     
   1     0 Alpha A01      NA 35,000~         0 1 : Exper~ 35000   HCME~ ECIS      
   2     0 Alpha A02      NA 35,000~         0 1 : Exper~ 35000   HCME~ ECIS      
   3     0 Alpha A03      NA 35,000~         0 1 : Exper~ 35000   HCME~ ECIS      
   4     0 Alpha B01      NA 30,000~         0 1 : Exper~ 30000   HCME~ ECIS      
   5     0 Alpha B02      NA 30,000~         0 1 : Exper~ 30000   HCME~ ECIS      
   6     0 Alpha B03      NA 30,000~         0 1 : Exper~ 30000   HCME~ ECIS      
   7     0 Alpha C01      NA 25,000~         0 1 : Exper~ 25000   HCME~ ECIS      
   8     0 Alpha C02      NA 25,000~         0 1 : Exper~ 25000   HCME~ ECIS      
   9     0 Alpha C03      NA 25,000~         0 1 : Exper~ 25000   HCME~ ECIS      
  10     0 Alpha D01      NA 20,000~         0 1 : Exper~ 20000   HCME~ ECIS      
  # i 146,360 more rows
  # i 4 more variables: SampleID <int>, Excluded <chr>, cells.y <chr>,
  #   D3_line <chr>

Code
  vascr_import_map(lookup)
Output
  # A tibble: 6 x 5
    SampleID Sample                        Well  Vehicle HCMVEC
       <int> <chr>                         <chr> <chr>   <chr> 
  1        2 Water Vehicle + 80,000 HCMVEC A01   Water   80,000
  2        2 Water Vehicle + 80,000 HCMVEC B01   Water   80,000
  3        2 Water Vehicle + 80,000 HCMVEC C01   Water   80,000
  4        1 Water Vehicle + 20,000 HCMVEC E02   Water   20,000
  5        1 Water Vehicle + 20,000 HCMVEC F02   Water   20,000
  6        1 Water Vehicle + 20,000 HCMVEC G02   Water   20,000

JamesHucklesby/vascr documentation built on July 16, 2025, 8:16 p.m.