Most common errors faced when programming with R

0 votes
I just wanted to know the most common errors encountered while working with R. I think it'll be very useful and will help me and others as well.
Oct 31, 2018 in Data Analytics by Hannah
• 18,520 points
702 views

1 answer to this question.

0 votes

These the two most common errors I keep facing:

  1. "could not find function" errors, usually caused by typos or not loading a required package
  2. "Error in if" errors, caused by non-logical data or missing values passed to R's "if" conditional statement
answered Oct 31, 2018 by Kalgi
• 52,350 points

Related Questions In Data Analytics

0 votes
1 answer

Creating barplot with standard errors plotted in R

For df1 plot # Group data by when ...READ MORE

answered Nov 12, 2018 in Data Analytics by Maverick
• 10,840 points
1,212 views
+1 vote
1 answer

Error saying "vector size cannot be NA" when using R with data mining

You can use the removesparseterm function.  Removes sparse ...READ MORE

answered Nov 15, 2018 in Data Analytics by Maverick
• 10,840 points
4,879 views
+4 votes
3 answers
+5 votes
0 answers
0 votes
1 answer

Lot of errors when trying to install R package "igraph"

change your ~/.R/Makevars file as C=gcc-5 CXX=g++ CXX1X = g++-5 CFLAGS = ...READ MORE

answered Nov 12, 2018 in Data Analytics by Maverick
• 10,840 points
1,794 views
0 votes
1 answer

By using dpylr package sum of multiple columns

Basically here we are making an equation ...READ MORE

answered Apr 5, 2018 in Data Analytics by DeepCoder786
• 1,720 points
2,269 views
0 votes
1 answer

How to convert a text mining termDocumentMatrix into excel or csv in R?

By assuming that all the values are ...READ MORE

answered Apr 5, 2018 in Data Analytics by DeepCoder786
• 1,720 points
1,964 views
0 votes
1 answer

In a dpylr pipline how to use sample and seq?

For avoiding rowwise(), I prefer to use ...READ MORE

answered Apr 6, 2018 in Data Analytics by DeepCoder786
• 1,720 points

edited Jun 9, 2020 by Gitika 1,203 views
+1 vote
2 answers

Stacked barchart - R programming with ggplot2

Use position = stack inside geom_bar() ggplot(mydata, aes(x = ...READ MORE

answered Aug 23, 2019 in Data Analytics by anonymous
• 33,030 points
958 views
0 votes
1 answer

how to run a logistic regression with clustered standard errors in R?

have a look at rms package. lrm is logistic ...READ MORE

answered Nov 6, 2018 in Data Analytics by Kalgi
• 52,350 points
1,769 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP