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So you want to either show a timeline with the contents of group 1 or 2? Then you need to filter your group column; you can’t select the columns 1 …
reactivity in timevis package: passing selectinput variable to subgroup Read More »
You could use non equi join in data.table: library(data.table) df1 <- setDT(df1) df2 <- setDT(df2) df1[,group := 1:.N] df1[df2,on = .(chrom, low < position, high > position)] chrom low high …
how can i combine rows in a range and consider a 3rd column? Read More »
You could use non equi join in data.table: library(data.table) df1 <- setDT(df1) df2 <- setDT(df2) df1[,group := 1:.N] df1[df2,on = .(chrom, low < position, high > position)] chrom low high …
how do you group rows in a range and consider a 3rd column? Read More »
A possible solution would be this: library(dplyr) library(tidyr) # some test data I made up from you picture df <- dplyr::tibble(ID = c(“AS”, “AS”, “AD”, “AF”), Year = c(2019, 2019, …
Pivot Table grouped by year and month in R [closed] Read More »
You can use which or better which.max which is guaranteed to return only 1 value. library(dplyr) df %>% group_by(ID) %>% mutate(which = which.max(value) * +(row_number() == 1)) # ID level …
Too long to type as a comment, using the only example you have provided and another invented example to show you don’t need the sapply() : d2 = data.frame(GISJOIN=c(“31000109654001″,”12345678910112”)) d2$GISJOIN …
how can i remove special digits in dataframe columns in r? Read More »
It’s because they don’t have same margins, but you can fix css like this: downloadButton(‘downloadData’, ‘Download’, style = “color: #fff; background-color: #27ae60; border-color: #fff;padding: 5px 14px 5px 14px;margin: 5px 5px …
How do I align downloadButton and ActionButton in R Shiny app? Read More »
If you just want a total count of each label, you can use unnest_longer and a grouped count: # using @DPH’s example data library(dplyr) library(tidyr) df %>% mutate(across(PL, strsplit, “;”)) …
tallying multiple observations in an entire data frame Read More »
You can unlist to get all the fighter_links together and pass it to map function to extract relevant text. library(rvest) library(purrr) fighter_profiles_a<-map(unlist(fighter_links), function(career_data){ read_html(career_data)%>% html_nodes(“div ul li”)%>% html_text() }) The …
Using map() in R to apply a list to function for web scraping Read More »
We can use \\S+ as pattern to match one or more non-whitespace character library(stringr) str_extract(str1, “\\S+\\s+\\S+\\s+\\S+”) #[1] “*** CONNECTION WAS” str_extract(str2, “\\S+\\s+\\S+\\s+\\S+”) #[1] “some random example” str_extract(str3, “\\S+\\s+\\S+\\s+\\S+”) #[1] “response …
i cannot extract asterisks with my regular expression duplicate Read More »
