I am trying to sort a data frame by year. I know this should be the easiest thing in the world but I just keep getting error after error and have no idea how to solve this problem. I've tried to do the "minimum reproducible example" or whatever but I don't know how to create a data frame to reproduce the problem and I am not allowed to post the information online. So the first problem I thought I solved is changed the year column to numeric because it was a factor. Anyway, please help I'm about to punch a hole in a wall.
library(readr) library(dplyr) #> #> Attaching package: 'dplyr' #> The following objects are masked from 'package:stats': #> #> filter, lag #> The following objects are masked from 'package:base': #> #> intersect, setdiff, setequal, union library(tidyr) library(stringr) library(lubridate) #> #> Attaching package: 'lubridate' #> The following object is masked from 'package:base': #> #> date library(reprex) library(tidyverse) library(quantreg) #> Loading required package: SparseM #> #> Attaching package: 'SparseM' #> The following object is masked from 'package:base': #> #> backsolve sports_top25000 <- read.csv('index_sales_export_categories.csv') #> Warning in file(file, "rt"): cannot open file #> 'index_sales_export_categories.csv': No such file or directory #> Error in file(file, "rt"): cannot open the connection baseball_top25000 <- sports_top25000 %>% select(graded_title,vcp_card_grade_id,category,year,date,price) %>% filter(category == 'Baseball') #> Error in eval(lhs, parent, parent): object 'sports_top25000' not found baseball_top25000 #> Error in eval(expr, envir, enclos): object 'baseball_top25000' not found prewar_baseball_top25000 <- baseball_top25000 %>% transform(prewar_baseball_top25000, year = as.numeric(year)) %>% prewar_baseball_top25000 #> Error in eval(lhs, parent, parent): object 'baseball_top25000' not found head(prewar_baseball_top25000) #> Error in head(prewar_baseball_top25000): object 'prewar_baseball_top25000' not found
Created on 2019-07-30 by the reprex package (v0.3.0)