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.Rhistory_conflict-20150908-110504
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library(dplyr)
source("../tmscript.R")
load("../data/docs.file")
test <- function(test){
print("test")
print(test)
}
renderLDAvis <- function(){
print("renderLDAvis")
# create dtm
dtm <-createDTM(
docs,
list(
tolower = TRUE,
removePunctuation = TRUE,
removeNumbers = TRUE,
stopwords = stopwords("de"),
stemming = TRUE,
weighting = weightTf
),
sparsity = 0.99
)
# create models
models <- getModels(
dtm,
burnin = 1,
iter = 1,
keep = 50,
ks = seq(20, 28, by = 1),
sel.method = "Gibbs"
)
# select best model and create json
bestModel <- getBestModel(
models,
burnin = 1,
keep = 50,
ks = seq(20, 28, by=1)
)
unlink("eyes_lda", recursive = TRUE, force = FALSE)
json <- getJSON(bestModel)
serVis(json, out.dir="eyes_lda", open.browser = FALSE)
}
shinyServer(
function(input, output){
df = getPostsAsCSV()
df %>%
streamgraph("topic", "size", "date") %>%
sg_axis_x(1, "date", "%Y") %>%
sg_colors("PuOr")%>%
sg_legend(show=TRUE, label="Topic: ") -> sg
output$sg <- renderStreamgraph(sg)
output$test <- renderPrint(
list(
# dtm
toLower = input$toLower,
punctuation = input$punctuation,
numbers = input$numbers,
stemming = input$stemming,
weighting = input$weighting,
stopwords = input$stopwords,
words = input$words,
# list of all real stopword whicht shoud be used
realstopwords = setdiff(append(stopwords("de"), input$words), input$stopwords),
sparsity = input$sparsity,
# model
burning = input$burning,
iterator = input$iterator,
keep = input$keep,
ks = input$ks
)
)
}
)
shiny::runApp('dashboard')
shiny::runApp('dashboard')
install.packages("XML")
#Test.R
#if you are running it on it's own, change all paths
source("tmscript.R")
load("data/docs.file")
# create dtm
dtm <-createDTM(
docs,
list(
tolower = TRUE,
removePunctuation = TRUE,
removeNumbers = TRUE,
stopwords = stopwords("de"),
stemming = TRUE,
weighting = weightTf
),
sparsity = 0.99
)
# create models
models <- getModels(
dtm,
burnin = 1,
iter = 1,
keep = 50,
ks = seq(20, 28, by = 1),
sel.method = "Gibbs"
)
# select best model and create json
bestModel <- getBestModel(
models,
burnin = 1,
keep = 50,
ks = seq(20, 28, by=1)
)
## create html
## removien eyes_lda folder is not needed
unlink("data/eyes_lda", recursive = TRUE, force = FALSE)
json <- getJSON(bestModel)
serVis(json, out.dir="data/eyes_lda", open.browser = FALSE)
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
getwd()
shiny::runApp('dashboard')
shiny::runApp('dashboard')
df <- read.csv("/Users/lukas/Downloads/tmp/stream2.csv")
View(df)
df %> streamgraph("date", "topic", "size")
sg_legend(show=TRUE, label="Topic: ")
alibrary(streamgraph)
packageVersion("streamgraph")
library(dplyr)
df <- read.csv("/Users/lukas/Downloads/tmp/stream2.csv")
df %>%
streamgraph("topic", "size", "date") %>%
sg_axis_x(1, "date", "%Y") %>%
sg_colors("PuOr")%>%
sg_legend(show=TRUE, label="Topic: ")
library(streamgraph)
packageVersion("streamgraph")
library(dplyr)
df <- read.csv("/Users/lukas/Downloads/tmp/stream2.csv")
df %>%
streamgraph("topic", "size", "date") %>%
sg_axis_x(1, "date", "%Y") %>%
sg_colors("PuOr")%>%
sg_legend(show=TRUE, label="Topic: ")
df <- getPostsAsCSV()
library(streamgraph)
packageVersion("streamgraph")
library(dplyr)
source("memiMongo.R")
df <- getPostsAsCSV()
write.csv(df, file="test.csv")
View(df)
df %>%
streamgraph("topic", "size", "date") %>%
sg_axis_x(1, "date", "%Y") %>%
sg_colors("PuOr")%>%
sg_legend(show=TRUE, label="Topic: ")
df %>%
streamgraph("topic", "size", "date") %>%
sg_axis_x(1, "date", "%Y") %>%
sg_colors("PuOr")%>%
sg_legend(show=TRUE, label="Topic: ")
df <- read.csv("/Users/lukas/Downloads/tmp/stream2.csv")
df %>%
streamgraph("topic", "size", "date") %>%
sg_axis_x(1, "date", "%Y") %>%
sg_colors("PuOr")%>%
sg_legend(show=TRUE, label="Topic: ")
df2 <- read.csv("test.csv")
View(df)
View(df)
View(df)
View(df2)
head(df2)
head(df)
str(df)
str(df2)
df2 <- df[, 1:1]
df2 <- df[, -1]
View(df)
View(df2)
df2 <- read.csv("test.csv")
df2 <- df2[, -1]
View(df2)
df2 %>%
streamgraph("topic", "size", "date") %>%
sg_axis_x(1, "date", "%Y") %>%
sg_colors("PuOr")%>%
sg_legend(show=TRUE, label="Topic: ")
?shiny::runApp()
?runApp()
shiny::runApp('dashboard')
install.packages(c("boot", "chron", "class", "cluster", "crayon", "dplyr", "foreign", "htmlwidgets", "httr", "KernSmooth", "MASS", "Matrix", "nlme", "nnet", "packrat", "plyr", "rmarkdown", "rpart", "rversions", "scales", "shiny", "shinydashboard", "spatial", "stringi", "survival"))
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard', display.mode = "showcase")
serVis()
serVis(json, )
ßserVis()
?serVis()
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
getwd()
?write
write(x="123", file="../test.txt")
shiny::runApp('dashboard')
?unlink
serVis(json, out.dir="../data/eyes_lda", open.browser = FALSE)
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
serVis(json, out.dir="../data/eyes_lda", open.browser = FALSE)
serVis(json, out.dir="/data/eyes_lda", open.browser = FALSE)
serVis(json, out.dir="data/eyes_lda", open.browser = FALSE)
serVis(json, out.dir="data/eyes_lda", open.browser = T)
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
library(shinydashboard)
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
source("../tmscript.R")
source("tmscript.R")
dtm <-createDTM(
docs,
list(
tolower = TRUE,
removePunctuation = TRUE,
removeNumbers = TRUE,
stopwords = stopwords("de"),
stemming = TRUE,
weighting = weightTf
),
sparsity = 0.99
)
models <- getCTM(dtm)
models <- getCTM(dtm=dtm)
source('~/ownCloud/documents/medicalmining/tmscript.R')
models <- getCTM(dtm=dtm)
dtm <-createDTM(
docs,
list(
tolower = TRUE,
removePunctuation = TRUE,
removeNumbers = TRUE,
stopwords = stopwords("de"),
stemming = TRUE,
weighting = weightTf
),
sparsity = 0.99
)
source('~/ownCloud/documents/medicalmining/tmscript.R')
dtm <-createDTM(
docs,
list(
tolower = TRUE,
removePunctuation = TRUE,
removeNumbers = TRUE,
stopwords = stopwords("de"),
stemming = TRUE,
weighting = weightTf
),
sparsity = 0.99
)
models <- getCTM(dtm=dtm)
library(LDAvis)
models[[1]]
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?tabItem
?mainPanel
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?selectInput
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?"LDA"
?"LDA_Gibbscontrol-class"
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?uiOutput
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?selectInput
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
load("~/ownCloud/documents/medicalmining/.RData")
shiny::runApp('dashboard')
load("~/ownCloud/documents/medicalmining/.RData")
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?renderUI
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?renderMenu
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?eval
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
?menuItem
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
source('~/ownCloud/documents/medicalmining/tmscript.R')
ctm <- getCTM(dtm, ks=20)
getBestModel(ctm, 1,1)
Rprof("dtm.out")
dtm <-createDTM(
docs,
list(
tolower = TRUE,
removePunctuation = TRUE,
removeNumbers = TRUE,
stopwords = stopwords("de"),
stemming = TRUE,
weighting = weightTf
),
sparsity = 0.99
)
source('~/ownCloud/documents/medicalmining/tmscript.R')
dtm <-createDTM(
docs,
list(
tolower = TRUE,
removePunctuation = TRUE,
removeNumbers = TRUE,
stopwords = stopwords("de"),
stemming = TRUE,
weighting = weightTf
),
sparsity = 0.99
)
Rprof(NULL
)
Rprof("dtm.out")
summaryRprof("dtm.out")
dtm <-createDTM(
docs,
list(
tolower = TRUE,
removePunctuation = TRUE,
removeNumbers = TRUE,
stopwords = stopwords("de"),
stemming = TRUE,
weighting = weightTf
),
sparsity = 0.99
)
Rprof(NULL
)
summaryRprof("dtm.out")
Rprof("models.out")
models <- getModels(
dtm,
burnin = 1,
iter = 1,
keep = 50,
ks = seq(20, 28, by = 1),
sel.method = "Gibbs"
)
Rprof(NULL
)
Rprof("models.out")
models <- getModels(
dtm,
burnin = 100,
iter = 100,
keep = 50,
ks = seq(20, 28, by = 1),
sel.method = "Gibbs"
)
Rprof(NULL)
summaryRprof("models.out")
Rprof("lda.out")
LDA(dtm, 25, method="Gibbs", control=list(burnin=50, iter=100, keep=50))
Rprof(NULL)
summaryRprof("lda.out")
library(tmUtils)
library(topicUtils)
save(dtm, file="dtm")
load(file = dtm)
load(file = "dtm")
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
library(topicUtils)
shiny::runApp('dashboard')
??VCorpus
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
getLDAModels(dtm, burnin = 10, iter=10, keep=50, ks=20, sel.method = "Gibbs")
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
getLDAModels(dtm, 1,1, 50, 20, "VEM")
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
shiny::runApp('dashboard')
getLDAModels(dtm, 1,1,50,20,"VEM")
getLDAModels(dtm, burnin=1,iter=1,keep=50,ks=20,"VEM")
getLDAModels(dtm, burnin=1,iter=1,keep=50,ks=20,"Gibbs")
lda getLDAModels(dtm, burnin=1,iter=10,keep=50,ks=20,"Gibbs")
lda <- getLDAModels(dtm, burnin=1,iter=10,keep=50,ks=20,"Gibbs")
terms(lda)
library(topicUtils)
lda <- getLDAModels(dtm, burnin=1,iter=10,keep=50,ks=20,"Gibbs")
terms(lda)
topics(lds)
topics(lda)
topics(lda[[1]])
terms(lda[[1]])
?topics
install.packages(c("base64enc", "cluster", "codetools", "curl", "httpuv", "lattice", "maps", "MASS", "mgcv", "PKI", "Rcpp", "rJava", "shiny"))
install.packages(c("class", "curl", "dplyr", "evaluate", "foreign", "git2r", "googleVis", "jsonlite", "knitr", "MASS", "mime", "nlme", "nnet", "R6", "rmarkdown", "RUnit", "scales", "shinydashboard", "spatial", "tidyr", "xml2"))
sessionInfo()
ll
exit
q()