b:r_cookbook:probability
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| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| b:r_cookbook:probability [2020/05/01 21:36] – [qt, pt] hkimscil | b:r_cookbook:probability [2025/09/17 08:22] (current) – [Plotting a Density Function] hkimscil | ||
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| Line 53: | Line 53: | ||
| > pnorm(84, mean=72, sd=15.2, lower.tail=FALSE) | > pnorm(84, mean=72, sd=15.2, lower.tail=FALSE) | ||
| [1] .2149176 | [1] .2149176 | ||
| + | </ | ||
| + | < | ||
| + | > qnorm(.5) | ||
| + | [1] 0 | ||
| + | |||
| + | > qnorm(.975) | ||
| + | [1] 1.959964 | ||
| + | |||
| + | > qnorm(.975, lower.tail=F) # 오른쪽 부분이 .975일 때의 점수 | ||
| + | [1] -1.959964 | ||
| + | |||
| > qnorm(.2149176, | > qnorm(.2149176, | ||
| [1] 84 | [1] 84 | ||
| Line 97: | Line 108: | ||
| > qt(c(0.025, 0.975), df=100) | > qt(c(0.025, 0.975), df=100) | ||
| [1] -1.983972 | [1] -1.983972 | ||
| - | > | + | |
| > qt(c(0.025, 0.975), df=400) | > qt(c(0.025, 0.975), df=400) | ||
| [1] -1.965912 | [1] -1.965912 | ||
| Line 298: | Line 309: | ||
| </ | </ | ||
| - | {{dnorm_x.png|Normal distribution plot}} | + | [{{: |
| < | < | ||
| Line 307: | Line 318: | ||
| </ | </ | ||
| - | {{standard_normal_distribution.png|standard_normal_distribution}} | + | [{{: |
| - | < | + | < |
| - | > region.x <- x[1 <= x & x <= 2] | + | # The body of the polygon follows the density curve where 1 <= z <= 2 |
| - | > region.y <- y[1 <= x & x <= 2] | + | region.x <- x[1 <= x & x <= 2] |
| - | > | + | region.y <- y[1 <= x & x <= 2] |
| - | > # We add initial and final segments, which drop down to the Y axis | + | |
| - | > region.x <- c(region.x[1], | + | # We add initial and final segments, which drop down to the Y axis |
| - | > region.y <- c( 0, region.y, | + | region.x <- c(region.x[1], |
| - | > polygon(region.x, | + | region.y <- c( 0, region.y, |
| + | polygon(region.x, | ||
| </ | </ | ||
| - | + | [{{: | |
| - | {{standard_normal_distribution_1-2.png|standard_normal_distribution}} | + | |
b/r_cookbook/probability.1588336566.txt.gz · Last modified: by hkimscil
