A dataset containing the speaker intercepts extracted from GAMM models fit in Brand et al. (2021).
Format
A data frame with 100 rows and 21 variables:
- speaker
Anonymised speaker code (character).
- F1_DRESS
Speaker intercept from GAMM model of DRESS F1.
- F2_DRESS
Speaker intercept from GAMM model of DRESS F2.
- F1_FLEECE
Speaker intercept from GAMM model of FLEECE F1.
- F2_FLEECE
Speaker intercept from GAMM model of FLEECE F2.
- F1_GOOSE
Speaker intercept from GAMM model of GOOSE F1.
- F2_GOOSE
Speaker intercept from GAMM model of GOOSE F2.
- F1_KIT
Speaker intercept from GAMM model of KIT F1.
- F2_KIT
Speaker intercept from GAMM model of KIT F2.
- F1_LOT
Speaker intercept from GAMM model of LOT F1.
- F2_LOT
Speaker intercept from GAMM model of LOT F2.
- F1_NURSE
Speaker intercept from GAMM model of NURSE F1.
- F2_NURSE
Speaker intercept from GAMM model of NURSE F2.
- F1_START
Speaker intercept from GAMM model of START F1.
- F2_START
Speaker intercept from GAMM model of START F2.
- F1_STRUT
Speaker intercept from GAMM model of STRUT F1.
- F2_STRUT
Speaker intercept from GAMM model of STRUT F2.
- F1_THOUGHT
Speaker intercept from GAMM model of THOUGHT F1.
- F2_THOUGHT
Speaker intercept from GAMM model of THOUGHT F2.
- F1_TRAP
Speaker intercept from GAMM model of TRAP F1.
- F2_TRAP
Speaker intercept from GAMM model of TRAP F2.