update README

README.Rmd

@@ -124,7 +124,7 @@ To see more examples, go to <https://didiermurillof.github.io/FielDHub/articles/
 
 Partially replicated designs are commonly employed in early generation field trials. This type of design is characterized by replication of a portion of the entries, with the remaining entries only appearing once in the experiment. As an example, considered a field trial with 288 plots containing 75 entries appearing two times each, and 138 entries only appearing once. This field trials is arranged in a field of 16 rows by 18 columns.
 
-<img src='man/figures/pREPExample1.PNG' align="center"/>
+<img src='man/figures/pREPExample1.png' align="center"/>
 
 In the figure above, green plots contain replicated entries, and the other plots contain entries that only appear once.
 

README.md

@@ -193,7 +193,7 @@ plots containing 75 entries appearing two times each, and 138 entries
 only appearing once. This field trials is arranged in a field of 16 rows
 by 18 columns.
 
-<img src='man/figures/pREPExample1.PNG' align="center"/>
+<img src='man/figures/pREPExample1.png' align="center"/>
 
 In the figure above, green plots contain replicated entries, and the
 other plots contain entries that only appear once.
@@ -237,43 +237,43 @@ Partially Replicated Design
 List of 7
  $ rows : num 16
  $ columns : num 18
- $ min_distance : num 8.06
- $ incidence_in_rows: num 1
+ $ min_distance : num 8
+ $ incidence_in_rows: num 3
  $ locations : num 1
  $ planter : chr "serpentine"
  $ seed : num 77
 
  10 First observations of the data frame with the partially_replicated field book: 
  ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS ENTRY TREATMENT
-1 1 ExptA FARGO 2023 1 1 1 24 24 G24
-2 2 ExptA FARGO 2023 2 1 2 12  12  G12
-3 3 ExptA FARGO 2023 3 1 3 72 72 G72
-4 4 ExptA FARGO 2023 4 1 4  0 172 G172
-5 5 ExptA FARGO 2023 5 1 5 16  16  G16
-6 6 ExptA FARGO 2023 6 1 6 67  67  G67
-7 7 ExptA FARGO 2023 7 1 7 55 55 G55
-8 8 ExptA FARGO 2023 8 1 8 51  51  G51
-9 9 ExptA FARGO 2023 9 1 9 46 46 G46
-10 10 ExptA FARGO 2023 10 1 10  8  8  G8
+1 1 ExptA FARGO 2023 1 1 1 30 30 G30
+2 2 ExptA FARGO 2023 2 1 2  0 192 G192
+3 3 ExptA FARGO 2023 3 1 3 44 44 G44
+4 4 ExptA FARGO 2023 4 1 4 66  66  G66
+5 5 ExptA FARGO 2023 5 1 5  0  78  G78
+6 6 ExptA FARGO 2023 6 1 6  0 186 G186
+7 7 ExptA FARGO 2023 7 1 7 34 34 G34
+8 8 ExptA FARGO 2023 8 1 8  0  86  G86
+9 9 ExptA FARGO 2023 9 1 9 37 37 G37
+10 10 ExptA FARGO 2023 10 1 10 55  55  G55
 ```
 
 First 12 rows of the fieldbook,
 
 ``` r
 head(pREP$fieldBook, 12)
  ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS ENTRY TREATMENT
-1 1 ExptA FARGO 2023 1 1 1 24 24 G24
-2 2 ExptA FARGO 2023 2 1 2 12  12  G12
-3 3 ExptA FARGO 2023 3 1 3 72 72 G72
-4 4 ExptA FARGO 2023 4 1 4  0 172 G172
-5 5 ExptA FARGO 2023 5 1 5 16  16  G16
-6 6 ExptA FARGO 2023 6 1 6 67  67  G67
-7 7 ExptA FARGO 2023 7 1 7 55 55 G55
-8 8 ExptA FARGO 2023 8 1 8 51  51  G51
-9 9 ExptA FARGO 2023 9 1 9 46 46 G46
-10 10 ExptA FARGO 2023 10 1 10  8  8  G8
-11 11 ExptA FARGO 2023 11 1 11 0 185 G185
-12 12 ExptA FARGO 2023 12 1 12 64  64  G64
+1 1 ExptA FARGO 2023 1 1 1 30 30 G30
+2 2 ExptA FARGO 2023 2 1 2  0 192 G192
+3 3 ExptA FARGO 2023 3 1 3 44 44 G44
+4 4 ExptA FARGO 2023 4 1 4 66  66  G66
+5 5 ExptA FARGO 2023 5 1 5  0  78  G78
+6 6 ExptA FARGO 2023 6 1 6  0 186 G186
+7 7 ExptA FARGO 2023 7 1 7 34 34 G34
+8 8 ExptA FARGO 2023 8 1 8  0  86  G86
+9 9 ExptA FARGO 2023 9 1 9 37 37 G37
+10 10 ExptA FARGO 2023 10 1 10 55  55  G55
+11 11 ExptA FARGO 2023 11 1 11 0 125 G125
+12 12 ExptA FARGO 2023 12 1 12  0 159 G159
 ```
 
 Users can plot the layout design from `partially_replicated()` using the