search for: visual_statist

...y, it's best to show your work and your error messages because the psychic debugging powers don't always work properly. -- Best regards, Ivan [1] https://www.r-project.org/posting-guide.html [2] https://web.archive.org/web/20230501112111/http://ashipunov.info/shipunov/school/biol_240/en/visual_statistics.pdf

...which you can extract the values you are interested in (see ?summary.lm). When in doubt, call help(name_of_the_function). -- Best regards, Ivan [1] https://cran.r-project.org/doc/manuals/R-intro.html [2] http://web.archive.org/web/20230106210646/http://ashipunov.info/shipunov/school/biol_240/en/visual_statistics.pdf

I have a dataframe df <- df <- data.frame (Revenue = c("100", "300", "500"), Brand = c("Apple", "HP", "Lenovo") ) how can i create a vertical barplot that displays brands in x-axis and Revenue in Y-axis [[alternative HTML version deleted]]

A small number of columns in the data I need to work with are strings, the rest numbers. I'm using read_excel() from the readxl package to get the data ; right after it, the string columns are of type chr and the rest num. I'm tasked with finding out which columns are integers. From an advice, I tried saving the spreadsheet content into a CSV then loading that, which works like a charm ;

R List, Please excuse this ultra-newbie post. I looked at this page but it's a bit beyond me. https://www2.kenyon.edu/Depts/Math/hartlaub/Math305%20Fall2011/R.htm I'm interested in R construct(s) to be entered at the command line that would output slope, y-intercept, and r-squared values read from a csv or other filename entered at the command line, and the same for standard deviation

An update: Running this block of code: # Load libraries library(tcltk) library(tidyverse) library(officer) filepath <- setwd(tk_choose.dir()) filename <- "Now they want us to charge our electric cars from litter bins.docx" #full_filename <- paste0(filepath, filename) full_filename <- paste(filepath, filename, sep="/") if (!file.exists(full_filename)) { ?