QuestionQuestion

I need to build an appropriate linear mixed model to study how the response varies with type of vowel, gender, age group, decade and preceding and following sounds, making sure to include random effects for speaker and word, and considering interaction terms.

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# Loading the data
load(file = "sounds.rdata")

# Part (a)

# Getting the glimpse of the data
head(data)
##      F1 Speaker Age Decade Gender    Word Vowel8 Preceding.POA
## 1 367.7 70-O-f01   O    70      F   wivIN fleece       labial
## 2 371.0 70-O-f01   O    70      F    Tri fleece       coronal
## 3 445.7 70-O-f01   O    70      F    wid fleece       labial
## 4 279.3 70-O-f01   O    70      F    wiv fleece       labial
## 5 473.7 70-O-f01   O    70      F      _i fleece       coronal
## 6 341.7 70-O-f01   O    70      F sIkstin fleece       coronal
##   Following.POA
## 1       labial
## 2             0
## 3       coronal
## 4       labial
## 5             0
## 6       coronal
str(data)
## 'data.frame':    14298 obs. of 9 variables:
## $ F1          : num 368 371 446 279 474 ...
## $ Speaker      : Factor w/ 31 levels "00-O-f01","00-O-f02",..: 17 17 17 17 17 17 17 17 17 17 ...
## $ Age          : Factor w/ 2 levels "O","Y": 1 1 1 1 1 1 1 1 1 1 ...
## $ Decade       : Factor w/ 2 levels "00","70": 2 2 2 2 2 2 2 2 2 2 ...
## $ Gender       : Factor w/ 2 levels "F","M": 1 1 1 1 1 1 1 1 1 1 ...
## $ Word         : Factor w/ 1706 levels "_{gI","_{k","_{ki",..: 1681 1621 1675 1679 30 1378 1499 1010 123 1675 ......

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