{"id":8384,"date":"2022-09-13T08:18:43","date_gmt":"2022-09-13T02:48:43","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/"},"modified":"2022-09-13T08:18:43","modified_gmt":"2022-09-13T02:48:43","slug":"solved-plot-with-confidence-intervals-from-1d-data","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/","title":{"rendered":"[Solved] Plot with confidence intervals from 1D data?"},"content":{"rendered":"

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As the first google match stated, you can try doing as:<\/p>\n

n<-50\nx<-sample(40:70,n,rep=T)\ny<-.7*x+rnorm(n,sd=5)\nplot(x,y,xlim=c(20,90),ylim=c(0,80))\nmylm<-lm(y~x)\nabline(mylm,col=\"red\")\nnewx<-seq(20,90)\nprd<-predict(mylm,newdata=data.frame(x=newx),interval = c(\"confidence\"), \nlevel = 0.90,type=\"response\")\nlines(newx,prd[,2],col=\"red\",lty=2)\nlines(newx,prd[,3],col=\"red\",lty=2)\n<\/code><\/pre>\n
Of course it is one of possibilities
\nAnother example would be:<\/p>\n
x <- rnorm(15)\ny <- x + rnorm(15)\nnew <- data.frame(x = seq(-3, 3, 0.5))\n\npred.w.clim <- predict(lm(y ~ x), new, interval=\"confidence\")\n\n\n# Just create a blank plot region with axes first. We'll add to this\nplot(range(new$x), range(pred.w.clim), type = \"n\", ann = FALSE)\n\n\n# For convenience\nCI.U <- pred.w.clim[, \"upr\"]\nCI.L <- pred.w.clim[, \"lwr\"]\n\n# Create a 'loop' around the x values. Add values to 'close' the loop\nX.Vec <- c(new$x, tail(new$x, 1), rev(new$x), new$x[1])\n\n# Same for y values\nY.Vec <- c(CI.L, tail(CI.U, 1), rev(CI.U), CI.L[1])\n\n# Use polygon() to create the enclosed shading area\n# We are 'tracing' around the perimeter as created above\npolygon(X.Vec, Y.Vec, col = \"grey\", border = NA)\n\n\n# Use matlines() to plot the fitted line and CI's\n# Add after the polygon above so the lines are visible\nmatlines(new$x, pred.w.clim, lty = c(1, 2, 2), type = \"l\", col =  \nc(\"black\", \"red\", \"red\")) \n<\/code><\/pre>\n
Example 1<\/a><\/p>\n
Example 2<\/a><\/p>\n<\/p><\/div>\n
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            6<\/span> <\/p><\/div>\n<\/div>\n
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solved Plot with confidence intervals from 1D data? <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] As the first google match stated, you can try doing as: n<-50 x<-sample(40:70,n,rep=T) y<-.7*x+rnorm(n,sd=5) plot(x,y,xlim=c(20,90),ylim=c(0,80)) mylm<-lm(y~x) abline(mylm,col=”red”) newx<-seq(20,90) prd<-predict(mylm,newdata=data.frame(x=newx),interval = c(“confidence”), level = 0.90,type=”response”) lines(newx,prd[,2],col=”red”,lty=2) lines(newx,prd[,3],col=”red”,lty=2) Of course it is one of possibilities Another example would be: x <- rnorm(15) y <- x + rnorm(15) new <- data.frame(x = seq(-3, 3, 0.5)) pred.w.clim <- … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[321,1030],"class_list":["post-8384","post","type-post","status-publish","format-standard","hentry","category-solved","tag-r","tag-statistics"],"yoast_head":"\n[Solved] Plot with confidence intervals from 1D data? - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Plot with confidence intervals from 1D data? - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] As the first google match stated, you can try doing as: n<-50 x<-sample(40:70,n,rep=T) y<-.7*x+rnorm(n,sd=5) plot(x,y,xlim=c(20,90),ylim=c(0,80)) mylm<-lm(y~x) abline(mylm,col="red") newx<-seq(20,90) prd<-predict(mylm,newdata=data.frame(x=newx),interval = c("confidence"), level = 0.90,type="response") lines(newx,prd[,2],col="red",lty=2) lines(newx,prd[,3],col="red",lty=2) Of course it is one of possibilities Another example would be: x <- rnorm(15) y <- x + rnorm(15) new <- data.frame(x = seq(-3, 3, 0.5)) pred.w.clim <- ... Read more\" \/>\n<meta property=\"og:url\" content=\"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/\" \/>\n<meta property=\"og:site_name\" content=\"JassWeb\" \/>\n<meta property=\"article:published_time\" content=\"2022-09-13T02:48:43+00:00\" \/>\n<meta name=\"author\" content=\"Kirat\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kirat\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/\"},\"author\":{\"name\":\"Kirat\",\"@id\":\"https:\/\/jassweb.com\/solved\/#\/schema\/person\/65c9c7b7958150c0dc8371fa35dd7c31\"},\"headline\":\"[Solved] Plot with confidence intervals from 1D data?\",\"datePublished\":\"2022-09-13T02:48:43+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/\"},\"wordCount\":42,\"publisher\":{\"@id\":\"https:\/\/jassweb.com\/solved\/#organization\"},\"keywords\":[\"r\",\"statistics\"],\"articleSection\":[\"Solved\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/\",\"url\":\"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/\",\"name\":\"[Solved] Plot with confidence intervals from 1D data? 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Read more","og_url":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/","og_site_name":"JassWeb","article_published_time":"2022-09-13T02:48:43+00:00","author":"Kirat","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Kirat","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/#article","isPartOf":{"@id":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/"},"author":{"name":"Kirat","@id":"https:\/\/jassweb.com\/solved\/#\/schema\/person\/65c9c7b7958150c0dc8371fa35dd7c31"},"headline":"[Solved] Plot with confidence intervals from 1D data?","datePublished":"2022-09-13T02:48:43+00:00","mainEntityOfPage":{"@id":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/"},"wordCount":42,"publisher":{"@id":"https:\/\/jassweb.com\/solved\/#organization"},"keywords":["r","statistics"],"articleSection":["Solved"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/","url":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/","name":"[Solved] Plot with confidence intervals from 1D data? - JassWeb","isPartOf":{"@id":"https:\/\/jassweb.com\/solved\/#website"},"datePublished":"2022-09-13T02:48:43+00:00","breadcrumb":{"@id":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/jassweb.com\/solved\/solved-plot-with-confidence-intervals-from-1d-data\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/jassweb.com\/solved\/"},{"@type":"ListItem","position":2,"name":"[Solved] Plot with confidence intervals from 1D data?"}]},{"@type":"WebSite","@id":"https:\/\/jassweb.com\/solved\/#website","url":"https:\/\/jassweb.com\/solved\/","name":"JassWeb","description":"Build High-quality Websites","publisher":{"@id":"https:\/\/jassweb.com\/solved\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/jassweb.com\/solved\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/jassweb.com\/solved\/#organization","name":"Jass Web","url":"https:\/\/jassweb.com\/solved\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/jassweb.com\/solved\/#\/schema\/logo\/image\/","url":"https:\/\/jassweb.com\/wp-content\/uploads\/2021\/02\/jass-website-logo-1.png","contentUrl":"https:\/\/jassweb.com\/wp-content\/uploads\/2021\/02\/jass-website-logo-1.png","width":693,"height":132,"caption":"Jass Web"},"image":{"@id":"https:\/\/jassweb.com\/solved\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/jassweb.com\/solved\/#\/schema\/person\/65c9c7b7958150c0dc8371fa35dd7c31","name":"Kirat","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/jassweb.com\/solved\/#\/schema\/person\/image\/","url":"https:\/\/jassweb.com\/solved\/wp-content\/litespeed\/avatar\/1261af3c9451399fa1336d28b98ea3bb.jpg?ver=1775798750","contentUrl":"https:\/\/jassweb.com\/solved\/wp-content\/litespeed\/avatar\/1261af3c9451399fa1336d28b98ea3bb.jpg?ver=1775798750","caption":"Kirat"},"sameAs":["http:\/\/jassweb.com"],"url":"https:\/\/jassweb.com\/solved\/author\/jaspritsinghghumangmail-com\/"}]}},"_links":{"self":[{"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/posts\/8384","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/comments?post=8384"}],"version-history":[{"count":0,"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/posts\/8384\/revisions"}],"wp:attachment":[{"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/media?parent=8384"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/categories?post=8384"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jassweb.com\/solved\/wp-json\/wp\/v2\/tags?post=8384"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}