{"id":4278,"date":"2023-07-12T08:16:16","date_gmt":"2023-07-12T08:16:16","guid":{"rendered":"https:\/\/statorials.org\/hi\/r-%e0%a4%ae%e0%a5%87%e0%a4%82-glm-%e0%a4%95%e0%a5%87-%e0%a4%97%e0%a5%81%e0%a4%a3%e0%a4%be%e0%a4%82%e0%a4%95-%e0%a4%a8%e0%a4%bf%e0%a4%95%e0%a4%be%e0%a4%b2%e0%a5%87%e0%a4%82\/"},"modified":"2023-07-12T08:16:16","modified_gmt":"2023-07-12T08:16:16","slug":"r-%e0%a4%ae%e0%a5%87%e0%a4%82-glm-%e0%a4%95%e0%a5%87-%e0%a4%97%e0%a5%81%e0%a4%a3%e0%a4%be%e0%a4%82%e0%a4%95-%e0%a4%a8%e0%a4%bf%e0%a4%95%e0%a4%be%e0%a4%b2%e0%a5%87%e0%a4%82","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/r-%e0%a4%ae%e0%a5%87%e0%a4%82-glm-%e0%a4%95%e0%a5%87-%e0%a4%97%e0%a5%81%e0%a4%a3%e0%a4%be%e0%a4%82%e0%a4%95-%e0%a4%a8%e0%a4%bf%e0%a4%95%e0%a4%be%e0%a4%b2%e0%a5%87%e0%a4%82\/","title":{"rendered":"\u0906\u0930 \u092e\u0947\u0902 glm() \u0938\u0947 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0915\u0948\u0938\u0947 \u0928\u093f\u0915\u093e\u0932\u0947\u0902"},"content":{"rendered":"

<\/p>\n

\n

\u0906\u092a R \u092e\u0947\u0902 glm()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0938\u0947 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0935\u093f\u0927\u093f\u092f\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n

\u0935\u093f\u0927\u093f 1: \u0938\u092d\u0940 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/strong><\/span><\/p>\n

 model$coefficients\n<\/strong><\/pre>\n
 \u0935\u093f\u0927\u093f 2: \u0915\u093f\u0938\u0940 \u0935\u093f\u0936\u093f\u0937\u094d\u091f \u091a\u0930 \u0915\u0947 \u0932\u093f\u090f \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/strong><\/span><\/p>\n
 model$coefficients[' my_variable<\/span> ']<\/strong><\/pre>\n
 \u0935\u093f\u0927\u093f 3: \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f, Z \u092e\u093e\u0928 \u0914\u0930 P \u092e\u093e\u0928 \u0915\u0947 \u0938\u093e\u0925 \u0938\u092d\u0940 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/strong><\/span><\/p>\n
 summary(model)$coefficients<\/strong><\/pre>\n
 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0909\u0926\u093e\u0939\u0930\u0923 \u0926\u093f\u0916\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0935\u094d\u092f\u0935\u0939\u093e\u0930 \u092e\u0947\u0902 \u0907\u0928 \u0935\u093f\u0927\u093f\u092f\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902\u0964<\/span><\/p>\n
 \u0909\u0926\u093e\u0939\u0930\u0923: \u0906\u0930 \u092e\u0947\u0902 glm() \u0938\u0947 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/strong><\/span><\/h2>\n
 \u092e\u093e\u0928 \u0932\u0940\u091c\u093f\u090f \u0915\u093f \u0939\u092e ISLR<\/strong> \u092a\u0948\u0915\u0947\u091c \u0938\u0947 \u0921\u093f\u092b\u093c\u0949\u0932\u094d\u091f<\/strong> \u0921\u0947\u091f\u093e\u0938\u0947\u091f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u090f\u0915 \u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u092e\u0949\u0921\u0932<\/a> \u092b\u093f\u091f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #load dataset\n<\/span>data <- ISLR::Default\n\n#view first six rows of data\n<\/span>head(data)\n\n  default student balance income\n1 No No 729.5265 44361.625\n2 No Yes 817.1804 12106.135\n3 No No 1073.5492 31767.139\n4 No No 529.2506 35704.494\n5 No No 785.6559 38463.496\n6 No Yes 919.5885 7491.559\n\n#fit logistic regression model\n<\/span>model <- glm(default~student+balance+income, family=' binomial<\/span> ', data=data)\n\n#view summary of logistic regression model\n<\/span>summary(model)\n\nCall:\nglm(formula = default ~ student + balance + income, family = \"binomial\", \n    data = data)\n\nDeviance Residuals: \n    Min 1Q Median 3Q Max  \n-2.4691 -0.1418 -0.0557 -0.0203 3.7383  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -1.087e+01 4.923e-01 -22.080 < 2e-16 ***\nstudentYes -6.468e-01 2.363e-01 -2.738 0.00619 ** \nbalance 5.737e-03 2.319e-04 24.738 < 2e-16 ***\nincome 3.033e-06 8.203e-06 0.370 0.71152    \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\n(Dispersion parameter for binomial family taken to be 1)\n\n    Null deviance: 2920.6 on 9999 degrees of freedom\nResidual deviance: 1571.5 on 9996 degrees of freedom\nAIC: 1579.5\n\nNumber of Fisher Scoring iterations: 8<\/strong><\/pre>\n
 \u0939\u092e \u092e\u0949\u0921\u0932 \u0938\u0947 \u0938\u092d\u0940 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f model$coefficients<\/strong> \u091f\u093e\u0907\u092a \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #extract all regression coefficients\n<\/span>model$coefficients\n\n  (Intercept) studentYes balance income \n-1.086905e+01 -6.467758e-01 5.736505e-03 3.033450e-06\n<\/strong><\/pre>\n
 \u0939\u092e \u0915\u0947\u0935\u0932 \u0936\u0947\u0937<\/strong> \u091a\u0930 \u0915\u0947 \u0932\u093f\u090f \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f model$coefficients[‘balance’]<\/strong> \u092d\u0940 \u091f\u093e\u0907\u092a \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/span><\/p>\n
 #extract coefficient for 'balance'\n<\/span>model$coefficients[' balance<\/span> ']\n\n<\/span><\/span>balance \n0.005736505\n<\/strong><\/pre>\n
 #view regression coefficients with standard errors, z values and p-values\n<\/span>summary(model)$coefficients\n\n                 Estimate Std. Error z value Pr(>|z|)\n(Intercept) -1.086905e+01 4.922555e-01 -22.080088 4.911280e-108\nstudentYes -6.467758e-01 2.362525e-01 -2.737646 6.188063e-03\nbalance 5.736505e-03 2.318945e-04 24.737563 4.219578e-135\nincome 3.033450e-06 8.202615e-06 0.369815 7.115203e-01<\/strong><\/pre>\n
 \u0939\u092e \u0907\u0938 \u0906\u0909\u091f\u092a\u0941\u091f \u092e\u0947\u0902 \u0935\u093f\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u094b\u0902 \u0924\u0915 \u092d\u0940 \u092a\u0939\u0941\u0902\u091a \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/span><\/p>\n
 \u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0932\u093f\u090f, \u0939\u092e \u092c\u0948\u0932\u0947\u0902\u0938<\/b> \u0935\u0947\u0930\u093f\u090f\u092c\u0932 \u0915\u0947 \u092a\u0940 \u092e\u093e\u0928 \u0924\u0915 \u092a\u0939\u0941\u0902\u091a\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0915\u094b\u0921 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #view p-value for balance variable\n<\/span>summary(model)$coefficients[' balance<\/span> ', ' Pr(>|z|)<\/span> ']\n\n[1] 4.219578e-135\n<\/strong><\/pre>\n
 \u092f\u093e \u0939\u092e \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0915\u0947 \u0932\u093f\u090f \u092a\u0940-\u0935\u0948\u0932\u094d\u092f\u0942 \u0924\u0915 \u092a\u0939\u0941\u0902\u091a\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0915\u094b\u0921 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #view p-value for all variables\n<\/span>summary(model)$coefficients[, ' Pr(>|z|)<\/span> ']\n\n  (Intercept) studentYes balance income \n4.911280e-108 6.188063e-03 4.219578e-135 7.115203e-01 \n<\/strong><\/pre>\n
 \u092e\u0949\u0921\u0932 \u092e\u0947\u0902 \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0915\u0947 \u0932\u093f\u090f P \u092e\u093e\u0928 \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u093f\u090f \u091c\u093e\u0924\u0947 \u0939\u0948\u0902\u0964<\/span><\/p>\n
 \u0906\u092a \u0906\u0909\u091f\u092a\u0941\u091f \u092e\u0947\u0902 \u0915\u093f\u0938\u0940 \u092d\u0940 \u092e\u093e\u0928 \u0924\u0915 \u092a\u0939\u0941\u0902\u091a\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0938\u092e\u093e\u0928 \u0938\u093f\u0902\u091f\u0948\u0915\u094d\u0938 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/span><\/p>\n
 \u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u0938\u0902\u0938\u093e\u0927\u0928<\/strong><\/span><\/h2>\n
 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0906\u0930 \u092e\u0947\u0902 \u0905\u0928\u094d\u092f \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u0915\u093e\u0930\u094d\u092f \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n
 \u0906\u0930 \u092e\u0947\u0902 \u0938\u0930\u0932 \u0930\u0948\u0916\u093f\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a>
 \u0906\u0930 \u092e\u0947\u0902 \u092e\u0932\u094d\u091f\u0940\u092a\u0932 \u0932\u0940\u0928\u093f\u092f\u0930 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a>
 \u0906\u0930 \u092e\u0947\u0902 \u0932\u0949\u091c\u093f\u0938\u094d\u091f\u093f\u0915 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902
 \u0906\u0930 \u092e\u0947\u0902 \u0926\u094d\u0935\u093f\u0918\u093e\u0924 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0906\u092a R \u092e\u0947\u0902 glm() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0938\u0947 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0935\u093f\u0927\u093f\u092f\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902: \u0935\u093f\u0927\u093f 1: \u0938\u092d\u0940 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0947\u0902 model$coefficients \u0935\u093f\u0927\u093f 2: \u0915\u093f\u0938\u0940 \u0935\u093f\u0936\u093f\u0937\u094d\u091f \u091a\u0930 \u0915\u0947 \u0932\u093f\u090f \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0947\u0902 model$coefficients[‘ my_variable ‘] \u0935\u093f\u0927\u093f 3: \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f, Z \u092e\u093e\u0928 \u0914\u0930 P \u092e\u093e\u0928 \u0915\u0947 \u0938\u093e\u0925 \u0938\u092d\u0940 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0928\u093f\u0915\u093e\u0932\u0947\u0902 summary(model)$coefficients \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-4278","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\n\u0906\u0930 - \u0938\u094d\u091f\u0947\u091f\u094b\u0932\u0949\u091c\u0940 \u092e\u0947\u0902 glm() \u0938\u0947 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0915\u0948\u0938\u0947 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/title>\n<meta name=\"description\" content=\"\u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u090f\u0915 \u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0938\u093e\u0925 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f R \u092e\u0947\u0902 glm() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u0947 \u0906\u0909\u091f\u092a\u0941\u091f \u0938\u0947 \u0917\u0941\u0923\u093e\u0902\u0915 \u0915\u0948\u0938\u0947 \u0928\u093f\u0915\u093e\u0932\u0947\u0902\u0964\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/hi\/r-\u092e\u0947\u0902-glm-\u0915\u0947-\u0917\u0941\u0923\u093e\u0902\u0915-\u0928\u093f\u0915\u093e\u0932\u0947\u0902\/\" \/>\n<meta property=\"og:locale\" content=\"hi_IN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0906\u0930 - 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content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T08:16:16+00:00\" \/>\n<meta name=\"author\" content=\"\u0921\u0949. \u092c\u0947\u0902\u091c\u093e\u092e\u093f\u0928 \u090f\u0902\u0921\u0930\u0938\u0928\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0926\u094d\u0935\u093e\u0930\u093e \u0932\u093f\u0916\u093f\u0924\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0921\u0949. \u092c\u0947\u0902\u091c\u093e\u092e\u093f\u0928 \u090f\u0902\u0921\u0930\u0938\u0928\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u0905\u0928\u0941\u092e\u093e\u0928\u093f\u0924 \u092a\u0922\u093c\u0928\u0947 \u0915\u093e \u0938\u092e\u092f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u092e\u093f\u0928\u091f\" \/>\n<script type=\"application\/ld+json\" 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