Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask a question.

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

The Archive Base

The Archive Base Logo The Archive Base Logo

The Archive Base Navigation

  • SEARCH
  • Home
  • About Us
  • Blog
  • Contact Us
Search
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Add group
  • Groups page
  • Feed
  • User Profile
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Buy Points
  • Users
  • Help
  • Buy Theme
  • SEARCH
Home/ Questions/Q 9228401
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: June 18, 20262026-06-18T05:18:55+00:00 2026-06-18T05:18:55+00:00

I have a data frame accdata. dim(accdata) [1] 6496 188 One of the variables

  • 0

I have a data frame “accdata”.

 dim(accdata)
[1] 6496  188

One of the variables – “VAL” is of interest to me. I must calculate the number of instances where VAL is equal to 24.

I tried a few functions that returned error messages. After some research it seems I need to remove the NA values from VAL first.

I would try something like nonaaccdaa <- na.omit(accdata) except this removes instances of NA in any variable, not just VAL.

I tried nonaval <- na.omit(accdata[accdata$VAL]) but when I then checked the number of rows using nrow the result was null. I had expected a value between 1 and 6,496.

Whats up here?

  • 1 1 Answer
  • 0 Views
  • 0 Followers
  • 0
Share
  • Facebook
  • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Editorial Team
    Editorial Team
    2026-06-18T05:18:56+00:00Added an answer on June 18, 2026 at 5:18 am

    This should do the trick:

    sum(accdata$VAL == 24, na.rm=TRUE)
    
    • 0
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Sidebar

Related Questions

I have data frame with some numerical variables and some categorical factor variables. The
I have a data frame with two qualitative variables (Q1, Q2) which are both
I have a data frame which I then split into three (or any number)
I often have data that is grouped by one or more variables, with several
I have two data.frame s in R , each indexed by date. One is
I have a data frame with a number of infections identified from clinical isolates
I have a data.frame in which certain variables contain a text string. I wish
I have a data frame called VarChange containing 1005 variables such as: row.name SamplingEvent
I have data frame that has a column with large number of file names
I have a data frame with several columns, one of which is a factor

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help
  • SEARCH

Footer

© 2021 The Archive Base. All Rights Reserved
With Love by The Archive Base

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.