Mercurial > repos > jay > pdaug_ml_models
view PDAUG_Merge_Dataframes/test-data/.ipynb_checkpoints/Untitled1-checkpoint.ipynb @ 9:aa0b1cb1260c draft default tip
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit d396d7ff89705cc0dd626ed32c45a9f4029b1b05"
author | jay |
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date | Wed, 12 Jan 2022 20:29:12 +0000 |
parents | 0973f093d98f |
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{ "cells": [ { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning message in read.table(file = file, header = header, sep = sep, quote = quote, :\n", "“incomplete final line found by readTableHeader on '/Users/joshij/Desktop/GitRepos/Peptide/align/New.csv'”\n" ] }, { "ename": "ERROR", "evalue": "Error in data[[rowvar]]: attempt to select less than one element in get1index\n", "output_type": "error", "traceback": [ "Error in data[[rowvar]]: attempt to select less than one element in get1index\nTraceback:\n", "1. read.csv(\"/Users/joshij/Desktop/GitRepos/Peptide/align/New.csv\", \n . sep = \",\", header = TRUE, row.names = \"index\")", "2. read.table(file = file, header = header, sep = sep, quote = quote, \n . dec = dec, fill = fill, comment.char = comment.char, ...)" ] } ], "source": [ "m <- read.csv(\"/Users/joshij/Desktop/GitRepos/Peptide/align/New.csv\", sep=\",\",header=TRUE, row.names='index')\n", "\n", "\n", "m <- as.matrix(read.table(\"/Users/joshij/Desktop/GitRepos/Peptide/align/New.csv\", sep=\",\", header=TRUE, row.names='index')[, 1:4])" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "library(igraph)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "ename": "ERROR", "evalue": "Error in mde(x): 'list' object cannot be coerced to type 'double'\n", "output_type": "error", "traceback": [ "Error in mde(x): 'list' object cannot be coerced to type 'double'\nTraceback:\n", "1. graph.adjacency(m, mode = \"undirected\", weighted = TRUE)", "2. graph.adjacency.dense(adjmatrix, mode = mode, weighted = weighted, \n . diag = diag)", "3. `mode<-`(`*tmp*`, value = \"double\")" ] } ], "source": [ "m <- as.matrix(read.table(\"out_1.csv\", sep=\",\", header=TRUE, row.names='index')[, 1:4])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "R", "language": "R", "name": "ir" }, "language_info": { "codemirror_mode": "r", "file_extension": ".r", "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", "version": "4.0.0" } }, "nbformat": 4, "nbformat_minor": 2 }