muschellij2 / intro_to_r Goto Github PK
View Code? Open in Web Editor NEWIntroduction to R
License: MIT License
Introduction to R
License: MIT License
not death
Get rid of mtcars rownames and talk about tidy philosophy.
also, introduce %in% here
Remove qplot
- just start them out in ggplot
.
Just put the vector - dput confuses anyone.
And also add parentheses to function names.
ie in data cleaning lab:
Should be:
namat
which is equal to is.na(bike).namat
? Run rowSums() and colSums() on namat
.bike
. Don't print rowSums(), but do a table() of the rowSums()I saw that it happened in the video, but on my test it's not happening and I don't know why.
#the code
read_excel()
function in the readxl
package todestfile = file.path(tempdir(), "Monuments.xlsx")
download.file("http://johnmuschelli.com/intro_to_r/data/Monuments.xlsx",
destfile = destfile)
mon = read_excel(destfile)
#the error
library(readxl)
destfile = file.path(tempdir(), "Monuments.xlsx")
download.file("http://johnmuschelli.com/intro_to_r/data/Monuments.xlsx",
destfile = destfile)
trying URL 'http://johnmuschelli.com/intro_to_r/data/Monuments.xlsx'
Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 14013 bytes (13 KB)
downloaded 13 KB
mon = read_excel(destfile)
Error in read_fun(path = path, sheet = sheet, limits = limits, shim = shim, :
Evaluation error: zip file 'C:\Users\G\AppData\Local\Temp\RtmpAjmis5/Monuments.xlsx' cannot be opened.
mon = read_excel(destfile)
Error in read_fun(path = path, sheet = sheet, limits = limits, shim = shim, :
Evaluation error: zip file 'C:\Users\G\AppData\Local\Temp\RtmpAjmis5/Monuments.xlsx' cannot be opened.
library(readxl)
library(readr)
mon = read_excel(destfile)
Error in read_fun(path = path, sheet = sheet, limits = limits, shim = shim, :
Evaluation error: zip file 'C:\Users\G\AppData\Local\Temp\RtmpAjmis5/Monuments.xlsx' cannot be opened.
theres a bunch of stuff from previous years that we don't really use...is it worth cleaning up the repository?
due to deprication
Just tell them to stop using any base functions, like relevel
and levels
and do the forcats one.
instead of character/factor with a ton of levels
a lot of the data frames dont have the car names
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