{"id":491,"date":"2023-07-29T17:37:17","date_gmt":"2023-07-29T17:37:17","guid":{"rendered":"https:\/\/statorials.org\/ko\/r-dt-qt-pt-rt%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%92%e1%85%a1%e1%86%a8%e1%84%89%e1%85%a2%e1%86%bc-t-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%91%e1%85%a9-%e1%84%8c%e1%85%a1%e1%86%a8%e1%84%8b%e1%85%a5\/"},"modified":"2023-07-29T17:37:17","modified_gmt":"2023-07-29T17:37:17","slug":"r-dt-qt-pt-rt%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%92%e1%85%a1%e1%86%a8%e1%84%89%e1%85%a2%e1%86%bc-t-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%91%e1%85%a9-%e1%84%8c%e1%85%a1%e1%86%a8%e1%84%8b%e1%85%a5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r-dt-qt-pt-rt%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%92%e1%85%a1%e1%86%a8%e1%84%89%e1%85%a2%e1%86%bc-t-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%91%e1%85%a9-%e1%84%8c%e1%85%a1%e1%86%a8%e1%84%8b%e1%85%a5\/","title":{"rendered":"R\uc758 dt, qt, pt, & rt\uc5d0 \ub300\ud55c \uc548\ub0b4"},"content":{"rendered":"

\uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\ub294<\/strong> \ud1b5\uacc4\ud559\uc5d0\uc11c \uac00\uc7a5 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ubd84\ud3ec \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 dt()<\/strong> , qt()<\/strong> , pt()<\/strong> \ubc0f rt()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c Student t \ubd84\ud3ec\ub85c \uc791\uc5c5\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

dt<\/span><\/strong><\/h2>\n

\ud568\uc218 dt\ub294<\/b> \ud2b9\uc815 \ud655\ub960 \ubcc0\uc218 x<\/em> \uc640 \uc790\uc720\ub3c4 df<\/em> \uac00 \uc8fc\uc5b4\uc9c0\uba74 \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\uc758 \ud655\ub960 \ubc00\ub3c4 \ud568\uc218(pdf) \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4. dt\ub97c \uc0ac\uc6a9\ud558\ub294 \uad6c\ubb38\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

dt(x, df)<\/span><\/strong><\/p>\n

\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc791\ub3d9 \uc911\uc778 dt<\/b> \uc758 \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

 #find the value of the Student t distribution pdf at x = 0 with 20 degrees of freedom<\/span>\ndt(x = 0, df = 20)\n\n#[1] 0.3939886\n\n#by default, R assumes the first argument is x<\/em> and the second argument is df<\/em><\/span>\ndt(0, 20)\n\n#[1] 0.3939886\n#find the value of the Student t distribution pdf at x = 1 with 30 degrees of freedom\ndt(1, 30)\n<\/span>\n#[1] 0.2379933\n<\/span><\/span><\/strong><\/pre>\n
 \uc77c\ubc18\uc801\uc73c\ub85c \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud655\ub960\uc5d0 \uad00\ud55c \uc9c8\ubb38\uc744 \ud480 \ub54c dt<\/strong> \ub300\uc2e0 pt\ub97c<\/b> \uc0ac\uc6a9\ud558\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 dt<\/strong> \uc758 \uc720\uc6a9\ud55c \uc801\uc6a9\uc740 R\uc5d0\uc11c Student t \ubd84\ud3ec\ub3c4\ub97c \ub9cc\ub4dc\ub294 \uac83\uc785\ub2c8\ub2e4. \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc774\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #Create a sequence of 100 equally spaced numbers between -4 and 4<\/span>\nx <- seq(-4, 4, length=100)\n\n#create a vector of values that shows the height of the probability distribution<\/span>\n#for each value in x, using 20 degrees of freedom<\/span>\ny <- dt(x = x, df = 20)\n\n#plot x and y as a scatterplot with connected lines (type = \"l\") and add<\/span>\n#an x-axis with custom labels<\/span>\nplot(x,y, type = \"l\", lwd = 2, axes = FALSE, xlab = \"\", ylab = \"\")\naxis(1, at = -3:3, labels = c(\"-3s\", \"-2s\", \"-1s\", \"mean\", \"1s\", \"2s\", \"3s\"))<\/strong><\/pre>\n
 \uadf8\ub7ec\uba74 \ub2e4\uc74c \ud50c\ub86f\uc774 \uc0dd\uc131\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \ud0dc\ud3c9\uc591 \ud45c\uc900\uc2dc<\/span><\/strong><\/h2>\n
 pt<\/b> \ud568\uc218\ub294 \ud2b9\uc815 \ud655\ub960 \ubcc0\uc218 x<\/em> \ubc0f \uc790\uc720\ub3c4 df\uac00<\/em> \uc8fc\uc5b4\uc9c0\uba74 \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\uc758 \ub204\uc801 \ubc00\ub3c4 \ud568\uc218(cdf) \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4. pnorm\uc744 \uc0ac\uc6a9\ud558\ub294 \uad6c\ubb38\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ud3ec\uc778\ud2b8(x, df)<\/span><\/strong><\/p>\n
 \uac04\ub2e8\ud788 \ub9d0\ud574\uc11c pt\ub294<\/b> \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\uc5d0\uc11c \uc8fc\uc5b4\uc9c4 x<\/em> \uac12\uc758 \uc67c\ucabd \uc601\uc5ed\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4. \uc8fc\uc5b4\uc9c4 x<\/em> \uac12\uc758 \uc624\ub978\ucabd \uc601\uc5ed\uc5d0 \uad00\uc2ec\uc774 \uc788\ub294 \uacbd\uc6b0 lower.tail = FALSE<\/strong> \uc778\uc218\ub97c \ucd94\uac00\ud558\uba74 \ub429\ub2c8\ub2e4.<\/span><\/p>\n
 pt(x, df, lower.tail = FALSE)<\/span><\/strong><\/p>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 pt\ub97c \uc0ac\uc6a9\ud558\uc5ec \uba87 \uac00\uc9c0 \ud655\ub960 \uc9c8\ubb38\uc744 \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1:<\/strong> \uac12\uc774 -0.785\uc774\uace0 \uc790\uc720\ub3c4\uac00 14\uc778 t-\ud1b5\uacc4\ub7c9\uc758 \uc67c\ucabd<\/strong> \uc601\uc5ed\uc744 \ucc3e\uc2b5\ub2c8\ub2e4.<\/em><\/span><\/p>\n
 pt(-0.785, 14)\n\n#[1] 0.2227675\n<\/span><\/span><\/strong><\/pre>\n
 \uc608 2:<\/strong> \uac12\uc774 -0.785\uc774\uace0 \uc790\uc720\ub3c4\uac00 14\uc778 t-\ud1b5\uacc4\ub7c9\uc758 \uc624\ub978\ucabd<\/strong> \uc601\uc5ed\uc744 \ucc3e\uc2b5\ub2c8\ub2e4.<\/em><\/span><\/p>\n
 #the following approaches produce equivalent results\n\n#1 - area to the left<\/span>\n1 - pt(-0.785, 14)\n\n#[1] 0.7772325\n\n#area to the right<\/span>\npt(-0.785, 14, lower.tail = FALSE)\n\n#[1] 0.7772325 \n<\/span><\/span><\/span><\/strong><\/pre>\n
 \uc608 3:<\/strong> \uc790\uc720\ub3c4\uac00 14\uc778 \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\uc5d0\uc11c -0.785\uc758 \uc67c\ucabd \ub610\ub294 0.785\uc758 \uc624\ub978\ucabd\uc5d0 \uc788\ub294 \uc804\uccb4 \uba74\uc801\uc744 \uad6c\ud569\ub2c8\ub2e4.<\/em><\/span><\/p>\n
 pt (-0.785, 14)<\/span><\/span> + pt (0.785, 14, lower.tail = FALSE)<\/span><\/span>\n\n#[1] 0.4455351<\/strong><\/pre>\n
 qt<\/span><\/strong><\/h2>\n
 \ud568\uc218 qt\ub294<\/b> \ud2b9\uc815 \ud655\ub960 \ubcc0\uc218 x<\/em> \uc640 \uc790\uc720\ub3c4 df\uac00 \uc8fc\uc5b4\uc9c0\uba74 \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\uc758 \uc5ed \ub204\uc801 \ubc00\ub3c4 \ud568\uc218(cdf) \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/em> qt\ub97c \uc0ac\uc6a9\ud558\ub294 \uad6c\ubb38\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 qt(x, df)<\/span><\/strong><\/p>\n
 \uac04\ub2e8\ud788 \ub9d0\ud574\uc11c, qt\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc2a4\ud29c\ub358\ud2b8 t-\ubd84\ud3ec\uc758 p\ubc88\uc9f8<\/sup> \ubd84\uc704\uc218\uc5d0 \ub300\ud55c t-\uc810\uc218\uac00 \ubb34\uc5c7\uc778\uc9c0 \uc54c\uc544\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc2e4\uc81c qt<\/b> \uc758 \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #find the t-score of the 99th quantile of the Student t distribution with df = 20\n<\/span>qt(.99, df = 20)\n\n#[1][1]2.527977\n\n#find the t-score of the 95th quantile of the Student t distribution with df = 20<\/span>\nqt(.95, df = 20)\n\n#[1]1.724718\n\n#find the t-score of the 90th quantile of the Student t distribution with df = 20<\/span>\nqt(.9, df = 20)\n\n#[1]1.325341<\/span>\n<\/span><\/strong><\/pre>\n
 qt<\/strong> \ub85c \uad6c\ud55c \uc784\uacc4\uac12\uc740 t \ubd84\ud3ec\ud45c\uc5d0\uc11c \uad6c\ud55c \uc784\uacc4\uac12\ubfd0\ub9cc \uc544\ub2c8\ub77c \uc5ed t \ubd84\ud3ec \uacc4\uc0b0\uae30\ub85c \uad6c\ud55c \uc784\uacc4\uac12\uc5d0\ub3c4 \ud574\ub2f9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 RT<\/span><\/strong><\/h2>\n
 \ud568\uc218 rt\ub294<\/b> \ubca1\ud130 \uae38\uc774 n<\/em> \uacfc \uc790\uc720\ub3c4 df\uac00<\/em> \uc8fc\uc5b4\uc9c0\uba74 \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\ub97c \ub530\ub974\ub294 \ud655\ub960 \ubcc0\uc218\uc758 \ubca1\ud130\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. rt\ub97c \uc0ac\uc6a9\ud558\ub294 \uad6c\ubb38\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 RT(n, df)<\/span><\/strong><\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc791\ub3d9 \uc911\uc778 rt<\/b> \uc758 \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #generate a vector of 5 random variables that follows a Student t distribution\n#with df = 20<\/span>\nrt(n = 5, df = 20)\n\n#[1] -1.7422445 0.9560782 0.6635823 1.2122289 -0.7052825\n\n#generate a vector of 1000 random variables that follows a Student t distribution\n#with df = 40\nnarrowDistribution <- rt(1000, 40)\n\n#generate a vector of 1000 random variables that follows a Student t distribution\n#with df = 5\n<\/span>wideDistribution <- rt(1000, 5)\n\n#generate two histograms to view these two distributions side by side, and specify\n#50 bars in histogram,<\/span>\npar(mfrow=c(1, 2)) #one row, two columns\nhist(narrowDistribution, breaks=50, xlim = c(-6, 4)) \nhist(wideDistribution, breaks=50, xlim = c(-6, 4))\n<\/span><\/span><\/strong><\/pre>\n
 \uadf8\ub7ec\uba74 \ub2e4\uc74c\uacfc \uac19\uc740 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc774 \uc0dd\uc131\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \ub113\uc740 \ubd84\ud3ec\uac00 \uc881\uc740 \ubd84\ud3ec\ubcf4\ub2e4 \uc5bc\ub9c8\ub098 \ub113\uc740\uc9c0 \ud655\uc778\ud558\uc138\uc694. \uc2e4\uc81c\ub85c \uc6b0\ub9ac\ub294 \uc881\uc740 \ubd84\ud3ec\uc758 \uc790\uc720\ub3c4\uac00 40\uc778 \ub370 \ube44\ud574 \ub113\uc740 \ubd84\ud3ec\uc758 \uc790\uc720\ub3c4\ub294 5\ub77c\uace0 \uc9c0\uc815\ud588\uc2b5\ub2c8\ub2e4. \uc790\uc720\ub3c4\uac00 \ub0ae\uc744\uc218\ub85d \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\ub294 \ub354 \ub113\uc5b4\uc9d1\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \uc790\ub8cc:
 R\uc758 dnorm, pnorm, qnorm \ubc0f rnorm\uc5d0 \ub300\ud55c \uc548\ub0b4<\/a>
 R\uc758 dbinom, pbinom, qbinom \ubc0f rbinom\uc5d0 \ub300\ud55c \uac00\uc774\ub4dc<\/a>
<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\ub294 \ud1b5\uacc4\ud559\uc5d0\uc11c \uac00\uc7a5 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ubd84\ud3ec \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 dt() , qt() , pt() \ubc0f rt() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c Student t \ubd84\ud3ec\ub85c \uc791\uc5c5\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. dt \ud568\uc218 dt\ub294 \ud2b9\uc815 \ud655\ub960 \ubcc0\uc218 x \uc640 \uc790\uc720\ub3c4 df \uac00 \uc8fc\uc5b4\uc9c0\uba74 \uc2a4\ud29c\ub358\ud2b8 t \ubd84\ud3ec\uc758 \ud655\ub960 \ubc00\ub3c4 \ud568\uc218(pdf) \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4. dt\ub97c \uc0ac\uc6a9\ud558\ub294 \uad6c\ubb38\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. dt(x, df) […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-491","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nR\uc758 dt, qt, pt \ubc0f rt\uc5d0 \ub300\ud55c \uac00\uc774\ub4dc - 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