Imperial Titles in the Theodosian Code

Frequency of Imperial Titles in the Theodosian Code

titlesincth

 

Frequency of Those Words (not just as titles) in the Theodosian Code

nontitle

 

Frequency of Clementia as Imperial Title, by Reign

byreign

 

Code

#THEODOSIAN CODE

CTh.scan <- scan(“~/Education/Emory/Coursework/Digital Humanities Methods/Project/Theodosian Code Raw Text.txt”,
what=”character”, sep=”\n”)
CTh.df <- data.frame(CTh.scan, stringsAsFactors=FALSE)
CTh.df <- str_replace_all(string = CTh.df$CTh.scan, pattern = “[:punct:]”, replacement = “”)
CTh.df <- data.frame(CTh.df, stringsAsFactors = FALSE)
CTh.lines <- tolower(CTh.df[,1])
book.headings <- grep(“book”, CTh.lines)
start.lines <- book.headings + 1
end.lines <- book.headings[2:length(book.headings)] – 1
end.lines <- c(end.lines, length(CTh.lines))
CTh.df <- data.frame(“start” = start.lines, “end”=end.lines, “text”=NA)
i <- 1
for (i in 1:length(CTh.df$end))
{CTh.df$text[i] <- paste(CTh.lines[CTh.df$start[i]:CTh.df$end[i]], collapse = ” “)}

CTh.df$Book <- seq.int(nrow(CTh.df))

#String Extracts of Imperial Titles

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}aeternita.{0,80}|.{0,80}aeternita.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}aeternita.{0,80}|.{0,80}aeternita.{0,80}mea.{0,80}”) #AETERNITAS

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}clementia.{0,80}|.{0,80}clementia.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}clementia.{0,80}|.{0,80}clementia.{0,80}mea.{0,80}”) #CLEMENTIA

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}lenita.{0,80}|.{0,80}lenita.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}lenita.{0,80}|.{0,80}lenita.{0,80}mea.{0,80}”) #LENITAS

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}lenitud.{0,80}|.{0,80}lenitud.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}lenitud.{0,80}|.{0,80}lenitud.{0,80}mea.{0,80}”) #LENITUDO

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}maiesta.{0,80}|.{0,80}maiesta.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}maiesta.{0,80}|.{0,80}maiesta.{0,80}mea.{0,80}”) #MAIESTAS

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}mansuetud.{0,80}|.{0,80}mansuetud.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}mansuetud.{0,80}|.{0,80}mansuetud.{0,80}mea.{0,80}”) #MANSUETUDO

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}moderatio.{0,80}|.{0,80}moderatio.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}moderatio.{0,80}|.{0,80}moderatio.{0,80}mea.{0,80}”) #MODERATIO

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostrum.{0,80}numen.{0,80}|.{0,80}numen.{0,80}nostrum.{0,80}|.{0,80}nostr.{0,80}numin.{0,80}|.{0,80}numin.{0,80}nostr.{0,80}|.{0,80}meum.{0,80}numen.{0,80}|.{0,80}numen.{0,80}meum.{0,80}|.{0,80}me.{0,80}numin.{0,80}|.{0,80}numin.{0,80}me.{0,80}”) #NUMEN

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}perennita.{0,80}|.{0,80}perennita.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}perennita.{0,80}|.{0,80}perennita.{0,80}mea.{0,80}”) #PERENNITAS

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}pieta.{0,80}|.{0,80}pieta.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}pieta.{0,80}|.{0,80}pieta.{0,80}mea.{0,80}”) #PIETAS

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}scientia.{0,80}|.{0,80}scientia.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}scientia.{0,80}|.{0,80}scientia.{0,80}mea.{0,80}”) #SCIENTIA

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}serenita.{0,80}|.{0,80}serenita.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}serenita.{0,80}|.{0,80}serenita.{0,80}mea.{0,80}”) #SERENITAS

str_extract_all(string = CTh.df$text, pattern = “.{0,80}nostra.{0,80}tranquillita.{0,80}|.{0,80}tranquillita.{0,80}nostra.{0,80}|.{0,80}mea.{0,80}tranquillita.{0,80}|.{0,80}tranquillita.{0,80}mea.{0,80}”) #TRANQUILLITAS

#Imperial Title Sums

aeternitas <- 2
clementia <- 93
lenitas <- 2
lenitudo <- 2
maiestas <- 12
mansuetudo <- 59
moderatio <- 2
numen <- 27
perennitas <- 12
pietas <- 9
scientia <- 32
serenitas <- 57
tranquillitas <- 10

#Imperial Title Sum Graph

Frequency <- c(aeternitas, clementia, lenitas, lenitudo, maiestas, mansuetudo, moderatio, numen, perennitas, pietas, scientia, serenitas, tranquillitas)
Title <- c(“Aeternitas”, “Clementia”, “Lenitas”, “Lenitudo”, “Maiestas”, “Mansuetudo”, “Moderatio”, “Numen”, “Perennitas”, “Pietas”, “Scientia”, “Serenitas”, “Tranquillitas”)
sum.df <- cbind.data.frame(Title, Frequency)
sum.df$Title <- factor(sum.df$Title, levels = sum.df$Title[order(sum.df$Frequency)]) #Reorders dataframe based on Frequency

ggplot(data=sum.df, aes(x=Title, Frequency), y=Frequency) + geom_bar(stat = “identity”) + coord_flip() #Word Total Graph

#Non-Title Frequencies

aeternitas <- sum(str_count(CTh.df$text, “aeternita”), na.rm = TRUE)
clementia <- sum(str_count(CTh.df$text, “clementia”), na.rm = TRUE)
lenitas <- sum(str_count(CTh.df$text, “lenita”), na.rm = TRUE)
lenitudo <- sum(str_count(CTh.df$text, “lenitud”), na.rm = TRUE)
maiestas <- sum(str_count(CTh.df$text, “maiesta”), na.rm = TRUE)
mansuetudo <- sum(str_count(CTh.df$text, “mansuetud”), na.rm = TRUE)
moderatio <- sum(str_count(CTh.df$text, “moderatio”), na.rm = TRUE)
numen <- sum(str_count(CTh.df$text, “numen|numin”), na.rm = TRUE)
perennitas <- sum(str_count(CTh.df$text, “perennita”), na.rm = TRUE)
pietas <- sum(str_count(CTh.df$text, “pieta”), na.rm = TRUE)
scientia <- sum(str_count(CTh.df$text, “scientia”), na.rm = TRUE)
serenitas <- sum(str_count(CTh.df$text, “serenita”), na.rm = TRUE)
tranquillitas <- sum(str_count(CTh.df$text, “tranquillita”), na.rm = TRUE)

Frequency <- c(aeternitas, clementia, lenitas, lenitudo, maiestas, mansuetudo, moderatio, numen, perennitas, pietas, scientia, serenitas, tranquillitas)
Title <- c(“Aeternitas”, “Clementia”, “Lenitas”, “Lenitudo”, “Maiestas”, “Mansuetudo”, “Moderatio”, “Numen”, “Perennitas”, “Pietas”, “Scientia”, “Serenitas”, “Tranquillitas”)
sum.df <- cbind.data.frame(Title, Frequency)
sum.df$Title <- factor(sum.df$Title, levels = sum.df$Title[order(sum.df$Frequency)]) #Reorders dataframe based on Frequency

ggplot(data=sum.df, aes(x=Title, Frequency), y=Frequency) + geom_bar(stat = “identity”) + coord_flip() #Word Total Graph

#Title Frequency By Reign

constantine <- 9
constantius <- 5
valentinian1 <- 5
valens <- 3
gratian <- 1
valentinian2 <- 1
theodosius1 <- 7
honorius <- 21
arcadius <- 9
theodosius2 <- 23

Frequency <- c(constantine, constantius, valentinian1, valens, gratian, valentinian2, theodosius1, honorius, arcadius, theodosius2)
Title <- c(“Constantine (306-337)”, “Constantius (337-361)”, “Valentinian I (364-375)”, “Valens (364-378)”, “Gratian (375-383)”, “Valentinian II (375-392)”, “Theodosius I (379-395)”, “Honorius (395-423)”, “Arcadius (395-408)”, “Theodosius II (408-450)”)
sum.df <- cbind.data.frame(Title, Frequency)
sum.df$Title <- factor(sum.df$Title, levels = sum.df$Title[order(sum.df$Frequency)]) #Reorders dataframe based on Frequency

ggplot(data=sum.df, aes(x=Title, Frequency), y=Frequency) + geom_bar(stat = “identity”) + labs(x = “Emperor”) + coord_flip() #Word Total Graph

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