Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • not memory size enough

    Hi everybody, I need help with my big plot. I couldn't see my plot because an error appeared:
    Error: cannot allocate vector of size 6.9 Gb
    In addition: Warning messages:
    1: In apply(x, margin, sum) :
    Reached total allocation of 16065Mb: see help(memory.size)

    Is there any solution to this?
    Can I make the plot easier? Thanks a lot for your help, I need it.

  • #2
    You have two options:

    1) Plot fewer points.
    2) Buy/use a larger computer.

    Comment


    • #3
      I tought about that, but I tought there were a easiest way using a different command without losing information. Thanks for writing @dpryan!

      Comment


      • #4
        Some ideas what is it?

        Hi! I did a plot with some of my data and the plot was dark. Some ideas?

        Commands were simple,

        d1 <- read.csv("all filter1.csv", header=T)
        plot(d1[,7], d1[,18])

        Somebody knows how can improve it? Thanks a lot!
        Attached Files

        Comment


        • #5
          Don't plot the actual points, but their density. Alternatively, plotting tiles is typically more feasible if you have a lot of data points.

          Comment

          Latest Articles

          Collapse

          • seqadmin
            Essential Discoveries and Tools in Epitranscriptomics
            by seqadmin


            The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist on Modified Bases...
            Yesterday, 07:01 AM
          • seqadmin
            Current Approaches to Protein Sequencing
            by seqadmin


            Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
            04-04-2024, 04:25 PM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by seqadmin, 04-11-2024, 12:08 PM
          0 responses
          39 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 10:19 PM
          0 responses
          41 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 09:21 AM
          0 responses
          35 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-04-2024, 09:00 AM
          0 responses
          55 views
          0 likes
          Last Post seqadmin  
          Working...
          X