This is similar to this. However what I'm interested is to calculate the percentage for every column. So for example when I do the below I can calculate column
For the unique pair of ID, if both corresponding rows are 0, I need to remove them. In this case, remove row #5 and #6 but not row #7 and #8. tmt.pair <- c("
How can I implement the use of a pool object in an R Shiny application structured like a package? I have structured my package according to the layout described
I'm trying to clusterize a set of journals by descriptors and I've been thinking of turning descriptors into a binary vector instead of using string distances (
I have a large amount of annual data in a data frame that will only get larger. I would like to organize it, grouping columns according to the year, which is
I am using windows and just updated to R 4.0.3 (with RStudio to 1.3.959) and ran the R check for one of my packages which uses Rcpp and RcppArmadillo and I got
When clicking on drop down arrow, near grouping categories, the corresponding list opens on top of the page. (At first I thought it didn't work at all.). The co
I write a r script below and want to run it in jupyter terminal. But it shows error: ./Rda_to_csv.r: line 1: syntax error near unexpected token `(' ./Rda_to_csv
I am working with NCBI Reference Sequence accession numbers like variable a: a <- c("NM_020506.1","NM_020519.1","NM_001030297.2","NM_010281.2","NM_011419.3"
I am working with NCBI Reference Sequence accession numbers like variable a: a <- c("NM_020506.1","NM_020519.1","NM_001030297.2","NM_010281.2","NM_011419.3"
I am making an interactive Shiny dashboard with typical "drill-down" capability. There are hundreds of thousands of links in the database. I am working on takin
I have two data frames of different lengths, like : df1 locusnum CHR MinBP MaxBP 1: 1 1 13982248 14126651 2: 2 1 21538708 2
I have two lists in R. One is a list of data frames with rows that contain strings (List 1). The other is a list (of the same length) of characters (List 2). I
Im trying to graph the number of bases (A,C,G,T) each of my viruses have on a single histogram. library(readxl) library(ggplot2) Bases <- read_excel("/Users/
I want distinguish between $p-values$ for t-test and $p-values$ for Wilicoxon in this code, How can I do that? replicate(1000, ifelse(shapiro.test(rnorm(4))$p.v
I'm having a bit of a struggle trying to figure out how to do the following. I want to map how many days of high sales I have previously a change of price. For
I've been trying to accomplish this in dplyr but not been able to figure it out. In one data frame (df1) I have columns with values. |A |B | |23 |43 | |24 |11
I am using an R package which extracts data from tables in a database based on the flag for each table. If the flag is 1, extract data from that table. If the f
My data have 2 numerical columns (positive and negative values) and 2 categorical variables. Now I want to plot negative and positive bars on same line, instead
I have a data set that looks something like this data set example I am trying to find unique entries in each of the columns I managed to do it for 1 column util