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res.R
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library(stylo)
# CA, MDS, PCV
setwd("C:/Users/N/Documents/Github/atds2022stylo")
####CA------------
saga_corpus_cluster_1gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 1,
preserve.case = FALSE,
mfw.min = 500,
mfw.max = 500,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "CA",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)
saga_corpus_cluster_2gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 2,
preserve.case = FALSE,
mfw.min = 300,
mfw.max = 300,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "CA",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)
saga_corpus_cluster_3gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 3,
preserve.case = FALSE,
mfw.min = 150,
mfw.max = 150,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "CA",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)
####MDS----------------
saga_corpus_mds_1gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 1,
preserve.case = FALSE,
mfw.min = 500,
mfw.max = 500,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "MDS",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)
saga_corpus_mds_2gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 2,
preserve.case = FALSE,
mfw.min = 300,
mfw.max = 300,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "MDS",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)
saga_corpus_mds_3gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 3,
preserve.case = FALSE,
mfw.min = 150,
mfw.max = 150,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "MDS",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)
###PCV----
saga_corpus_PCV_1gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 1,
preserve.case = FALSE,
mfw.min = 500,
mfw.max = 500,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "PCV",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)
saga_corpus_PCV_2gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 2,
preserve.case = FALSE,
mfw.min = 300,
mfw.max = 300,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "PCV",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)
saga_corpus_PCV_3gram=stylo(gui=F,
corpus.format = "plain",
corpus.lang = "Other",
corpus.dir="corpus",
analyzed.features = "w",
ngram.size = 3,
preserve.case = FALSE,
mfw.min = 150,
mfw.max = 150,
mfw.incr = 100,
start.at = 1,
culling.min = 0,
culling.max = 0,
culling.incr = 20,
mfw.list.cutoff = 5000,
delete.pronouns = FALSE,
use.existing.freq.tables = FALSE,
use.existing.wordlist = FALSE,
use.custom.list.of.files = FALSE,
analysis.type = "PCV",
distance.measure = "delta",
sampling = "no.sampling",
display.on.screen = TRUE,
write.pdf.file = FALSE,
write.jpg.file = FALSE,
write.svg.file = FALSE,
write.png.file = FALSE,
plot.custom.height = 15,
plot.custom.width = 15,
plot.font.size = 2,
plot.line.thickness = 1,
text.id.on.graphs = "both",
colors.on.graphs = "colors",
titles.on.graphs = TRUE,
label.offset = 3,
add.to.margins = 6,
dendrogram.layout.horizontal = TRUE,
pca.visual.flavour = "classic",
save.distance.tables = FALSE,
save.analyzed.features = FALSE,
save.analyzed.freqs = FALSE,
dump.samples = FALSE
)