swaheera

I found this reddit post here - https://www.reddit.com/r/obama/comments/xgsxy7/donald_trump_and_barack_obama_are_among_the/ . **I would like to use the API in such a way, such that I can get all the comments from this...

Hi! This is a really great library! I was just wondering: 1) Is it possible to have a "search bar" that can help you locate a node within a very...

Scraping comments from pushshift

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I am using the Reddit API (Pushshift) : https://github.com/pushshift/api Using the documentation, I understand how I can use this to extract every comment containing the word "covid" that was left...

Obtaining "Decision Rules" from rpart trees

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Hello, I used the "rpart" library and fit a decision tree using some data: #from a previous question : https://stackoverflow.com/questions/65678552/r-changing-plot-sizes ``` library(rpart) car.test.frame$Reliability = as.factor(car.test.frame$Reliability) z.auto = 3167.5 then reliability...

I am trying to run the code from this website: https://rdrr.io/cran/installr/man/freegeoip.html ``` library(installr) myip_details

I am working with the R programming language. I generated this random network graph and matrix: library(tidyverse) library(visNetwork) library(htmlwidgets) set.seed(123) mat

I am working with the R programming language. I have the following dataset: ``` library(igraph) library(visNetwork)library(igraph) library(visNetwork) nodes_df = structure(list(id = c("Boss", "TeamA", "TeamB", "SubteamA1", "SubteamA2", "SubteamA3", "SubteamB1", "SubteamB2", "SubteamB3",...

I have the following data: ``` library(igraph) library(visNetwork) nodes_df = structure(list(id = c("Boss", "TeamA", "TeamB", "SubteamA1", "SubteamA2", "SubteamA3", "SubteamB1", "SubteamB2", "SubteamB3", "employee1", "employee2", "employee3", "employee4", "employee5", "employee6", "employee7", "employee8", "employee9",...

I made the following 25 network graphs (all copies for simplicity): ``` library(tidyverse) library(igraph) set.seed(123) n=15 data = data.frame(tibble(d = paste(1:n))) relations = data.frame(tibble( from = sample(data$d), to = lead(from,...

I have the following network graph: ``` library(tidyverse) library(igraph) set.seed(123) n=15 data = data.frame(tibble(d = paste(1:n))) relations = data.frame(tibble( from = sample(data$d), to = lead(from, default=from[1]), )) data$name = c("new...