tests/testthat/_snaps/greta_array_class.md

In greta-dev/greta: Simple and Scalable Statistical Modelling in R

print and summary work

Code
  ga_data
Message
  greta array <data>

Output
       [,1] [,2] [,3]
  [1,]    1    4    7
  [2,]    2    5    8
  [3,]    3    6    9
Message

Code
  summary(ga_data)
Output
  'data' greta array with 9 elements (3x3)

         V1            V2            V3     
   Min.   :1.0   Min.   :4.0   Min.   :7.0  
   1st Qu.:1.5   1st Qu.:4.5   1st Qu.:7.5  
   Median :2.0   Median :5.0   Median :8.0  
   Mean   :2.0   Mean   :5.0   Mean   :8.0  
   3rd Qu.:2.5   3rd Qu.:5.5   3rd Qu.:8.5  
   Max.   :3.0   Max.   :6.0   Max.   :9.0

Code
  ga_stochastic
Message
  greta array <variable following a normal distribution>

Output
       [,1]
  [1,]  ?  
Message

Code
  summary(ga_stochastic)
Output
  'variable' greta array with 1 element following a normal distribution

    (values currently unknown)

Code
  ga_operation
Message
  greta array <operation>

Output
       [,1] [,2] [,3]
  [1,]  ?    ?    ?  
  [2,]  ?    ?    ?  
  [3,]  ?    ?    ?  
Message

Code
  summary(ga_operation)
Output
  'operation' greta array with 9 elements (3x3)

    (values currently unknown)

Code
  z
Message
  greta array <operation>

Output
       [,1] [,2] [,3]
  [1,] 1     ?   0   
  [2,] 1     ?   0   
  [3,] 1     ?   0   
Message

Code
  n
Message
  greta array <operation>

Output
       [,1] [,2] [,3]
  [1,] 1     ?    ?  
  [2,] 1     ?    ?  
  [3,] 1     ?    ?  
Message

print method works for longer greta arrays

Code
  ga_data_long
Message
  greta array <data>

Output
        [,1]
   [1,]    1
   [2,]    2
   [3,]    3
   [4,]    4
   [5,]    5
   [6,]    6
   [7,]    7
   [8,]    8
   [9,]    9
  [10,]   10
Message

  i 10 more values
  Use `print(n = ...)` to see more values

Code
  ga_stochastic_long
Message
  greta array <variable following a normal distribution>

Output
        [,1]
   [1,]  ?  
   [2,]  ?  
   [3,]  ?  
   [4,]  ?  
   [5,]  ?  
   [6,]  ?  
   [7,]  ?  
   [8,]  ?  
   [9,]  ?  
  [10,]  ?  
Message

  i 10 more values
  Use `print(n = ...)` to see more values

Code
  ga_operation_long
Message
  greta array <operation>

Output
        [,1]
   [1,]  ?  
   [2,]  ?  
   [3,]  ?  
   [4,]  ?  
   [5,]  ?  
   [6,]  ?  
   [7,]  ?  
   [8,]  ?  
   [9,]  ?  
  [10,]  ?  
Message

  i 10 more values
  Use `print(n = ...)` to see more values

Code
  print(ga_data_long, n = 19)
Message
  greta array <data>

Output
        [,1]
   [1,]    1
   [2,]    2
   [3,]    3
   [4,]    4
   [5,]    5
   [6,]    6
   [7,]    7
   [8,]    8
   [9,]    9
  [10,]   10
  [11,]   11
  [12,]   12
  [13,]   13
  [14,]   14
  [15,]   15
  [16,]   16
  [17,]   17
  [18,]   18
  [19,]   19
Message

  i 1 more values
  Use `print(n = ...)` to see more values

Code
  print(ga_data_long, n = 20)
Message
  greta array <data>

Output
        [,1]
   [1,]    1
   [2,]    2
   [3,]    3
   [4,]    4
   [5,]    5
   [6,]    6
   [7,]    7
   [8,]    8
   [9,]    9
  [10,]   10
  [11,]   11
  [12,]   12
  [13,]   13
  [14,]   14
  [15,]   15
  [16,]   16
  [17,]   17
  [18,]   18
  [19,]   19
  [20,]   20
Message

Code
  print(ga_data_long, n = 21)
Message
  greta array <data>

Output
        [,1]
   [1,]    1
   [2,]    2
   [3,]    3
   [4,]    4
   [5,]    5
   [6,]    6
   [7,]    7
   [8,]    8
   [9,]    9
  [10,]   10
  [11,]   11
  [12,]   12
  [13,]   13
  [14,]   14
  [15,]   15
  [16,]   16
  [17,]   17
  [18,]   18
  [19,]   19
  [20,]   20
Message

Code
  print(ga_stochastic_long, n = 19)
Message
  greta array <variable following a normal distribution>

Output
        [,1]
   [1,]  ?  
   [2,]  ?  
   [3,]  ?  
   [4,]  ?  
   [5,]  ?  
   [6,]  ?  
   [7,]  ?  
   [8,]  ?  
   [9,]  ?  
  [10,]  ?  
  [11,]  ?  
  [12,]  ?  
  [13,]  ?  
  [14,]  ?  
  [15,]  ?  
  [16,]  ?  
  [17,]  ?  
  [18,]  ?  
  [19,]  ?  
Message

  i 1 more values
  Use `print(n = ...)` to see more values

Code
  print(ga_stochastic_long, n = 20)
Message
  greta array <variable following a normal distribution>

Output
        [,1]
   [1,]  ?  
   [2,]  ?  
   [3,]  ?  
   [4,]  ?  
   [5,]  ?  
   [6,]  ?  
   [7,]  ?  
   [8,]  ?  
   [9,]  ?  
  [10,]  ?  
  [11,]  ?  
  [12,]  ?  
  [13,]  ?  
  [14,]  ?  
  [15,]  ?  
  [16,]  ?  
  [17,]  ?  
  [18,]  ?  
  [19,]  ?  
  [20,]  ?  
Message

Code
  print(ga_stochastic_long, n = 21)
Message
  greta array <variable following a normal distribution>

Output
        [,1]
   [1,]  ?  
   [2,]  ?  
   [3,]  ?  
   [4,]  ?  
   [5,]  ?  
   [6,]  ?  
   [7,]  ?  
   [8,]  ?  
   [9,]  ?  
  [10,]  ?  
  [11,]  ?  
  [12,]  ?  
  [13,]  ?  
  [14,]  ?  
  [15,]  ?  
  [16,]  ?  
  [17,]  ?  
  [18,]  ?  
  [19,]  ?  
  [20,]  ?  
Message

Code
  print(ga_operation_long, n = 19)
Message
  greta array <operation>

Output
        [,1]
   [1,]  ?  
   [2,]  ?  
   [3,]  ?  
   [4,]  ?  
   [5,]  ?  
   [6,]  ?  
   [7,]  ?  
   [8,]  ?  
   [9,]  ?  
  [10,]  ?  
  [11,]  ?  
  [12,]  ?  
  [13,]  ?  
  [14,]  ?  
  [15,]  ?  
  [16,]  ?  
  [17,]  ?  
  [18,]  ?  
  [19,]  ?  
Message

  i 1 more values
  Use `print(n = ...)` to see more values

Code
  print(ga_operation_long, n = 20)
Message
  greta array <operation>

Output
        [,1]
   [1,]  ?  
   [2,]  ?  
   [3,]  ?  
   [4,]  ?  
   [5,]  ?  
   [6,]  ?  
   [7,]  ?  
   [8,]  ?  
   [9,]  ?  
  [10,]  ?  
  [11,]  ?  
  [12,]  ?  
  [13,]  ?  
  [14,]  ?  
  [15,]  ?  
  [16,]  ?  
  [17,]  ?  
  [18,]  ?  
  [19,]  ?  
  [20,]  ?  
Message

Code
  print(ga_operation_long, n = 21)
Message
  greta array <operation>

Output
        [,1]
   [1,]  ?  
   [2,]  ?  
   [3,]  ?  
   [4,]  ?  
   [5,]  ?  
   [6,]  ?  
   [7,]  ?  
   [8,]  ?  
   [9,]  ?  
  [10,]  ?  
  [11,]  ?  
  [12,]  ?  
  [13,]  ?  
  [14,]  ?  
  [15,]  ?  
  [16,]  ?  
  [17,]  ?  
  [18,]  ?  
  [19,]  ?  
  [20,]  ?  
Message

greta-dev/greta documentation built on Dec. 21, 2024, 5:03 a.m.