library("quanteda")
## Package version: 2.0.2
## Parallel computing: 2 of 8 threads used.
## See https://quanteda.io for tutorials and examples.
##
## Attaching package: 'quanteda'
## The following object is masked from 'package:utils':
##
## View
# how it should look
textstat_simil(data_dfm_lbgexample) %>%
as.data.frame()
## document1 document2 correlation
## 1 R1 R2 0.1767950
## 2 R1 R3 -0.2927247
## 3 R2 R3 0.1767950
## 4 R1 R4 -0.3199658
## 5 R2 R4 -0.2927247
## 6 R3 R4 0.1767950
## 7 R1 R5 -0.3201080
## 8 R2 R5 -0.3199658
## 9 R3 R5 -0.2927247
## 10 R4 R5 0.1767950
## 11 R1 V1 -0.1243030
## 12 R2 V1 0.8084589
## 13 R3 V1 0.6078216
## 14 R4 V1 -0.2103734
## 15 R5 V1 -0.3183551
textstat_simil(data_dfm_lbgexample[-1, ], data_dfm_lbgexample[1, ]) %>%
as.data.frame()
## document1 document2 correlation
## 1 R2 <NA> 0.1767950
## 2 R3 <NA> -0.2927247
## 3 R4 <NA> -0.3199658
## 4 R5 <NA> -0.3201080
## 5 V1 <NA> -0.1243030
textstat_simil(data_dfm_lbgexample[1, ], data_dfm_lbgexample[-1, ]) %>%
as.data.frame()
## document1 document2 correlation
## 1 R1 <NA> 0.1767950
## 2 R1 <NA> -0.2927247
## 3 R1 <NA> -0.3199658
## 4 R1 <NA> -0.3201080
## 5 R1 <NA> -0.1243030
textstat_simil(data_dfm_lbgexample[-c(1:2), ], data_dfm_lbgexample[1:2, ]) %>%
as.data.frame()
## document1 document2 correlation
## 1 R3 <NA> -0.2927247
## 2 R4 <NA> -0.3199658
## 3 R5 <NA> -0.3201080
## 4 V1 <NA> -0.1243030
## 5 R3 <NA> 0.1767950
## 6 R4 <NA> -0.2927247
## 7 R5 <NA> -0.3199658
## 8 V1 <NA> 0.8084589
textstat_simil(data_dfm_lbgexample[1:2, ], data_dfm_lbgexample[-c(1:2), ]) %>%
as.data.frame()
## document1 document2 correlation
## 1 R1 <NA> -0.2927247
## 2 R2 <NA> 0.1767950
## 3 R1 <NA> -0.3199658
## 4 R2 <NA> -0.2927247
## 5 R1 <NA> -0.3201080
## 6 R2 <NA> -0.3199658
## 7 R1 <NA> -0.1243030
## 8 R2 <NA> 0.8084589
