Conditioning Problem Set

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University of California, Berkeley *

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20

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Aerospace Engineering

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Apr 3, 2024

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pdf

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9/17/23, 2:16 PM Conditioning https://stat20.datahub.berkeley.edu/user/lijahliu/rstudio/p/5075c682/ 1/3 library (tidyverse) library (stat20data) ggplot (penguins, aes ( x = bill_length_mm, y = bill_depth_mm, color = species)) + geom_point () + lims ( x = c ( 30 , 60 ), y = c ( 12 , 23 ))
9/17/23, 2:16 PM Conditioning https://stat20.datahub.berkeley.edu/user/lijahliu/rstudio/p/5075c682/ 2/3 # A tibble: 187 × 8 species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g <fct> <fct> <dbl> <dbl> <int> <int> 1 Gentoo Biscoe 46.1 13.2 211 4500 2 Gentoo Biscoe 50 16.3 230 5700 3 Gentoo Biscoe 48.7 14.1 210 4450 4 Gentoo Biscoe 50 15.2 218 5700 5 Gentoo Biscoe 47.6 14.5 215 5400 6 Gentoo Biscoe 46.5 13.5 210 4550 7 Gentoo Biscoe 45.4 14.6 211 4800 8 Gentoo Biscoe 46.7 15.3 219 5200 9 Gentoo Biscoe 43.3 13.4 209 4400 10 Gentoo Biscoe 46.8 15.4 215 5150 # ℹ 177 more rows # ℹ 2 more variables: sex <fct>, year <int> # A tibble: 135 × 8 species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g <fct> <fct> <dbl> <dbl> <int> <int> 1 Gentoo Biscoe 50 16.3 230 5700 2 Gentoo Biscoe 50 15.2 218 5700 3 Gentoo Biscoe 50 15.3 220 5550 4 Gentoo Biscoe 50 15.9 224 5350 5 Chinstrap Dream 50 19.5 196 3900 6 Gentoo Biscoe 49.9 16.1 213 5400 7 Gentoo Biscoe 49.8 16.8 230 5700 8 Gentoo Biscoe 49.8 15.9 229 5950 9 Chinstrap Dream 49.8 17.3 198 3675 10 Chinstrap Dream 49.7 18.6 195 3600 # ℹ 125 more rows # ℹ 2 more variables: sex <fct>, year <int> filter (penguins, species != "Adelie" ) penguins %>% filter (species != "Adelie" , bill_length_mm >= 40 , bill_length_mm <= 50 ) %>% arrange ( desc (bill_length_mm))
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