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RBC202003_Day2_Period5
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sakaue
March 20, 2020
Education
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RBC202003_Day2_Period5
sakaue
March 20, 2020
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Transcript
2020-03-20 ୈ5ݶ σʔλͷཁ bootcamp
Agenda 1. σʔλͷཁͷඞཁੑ (5) 2. ϕΫτϧΛͬͨཁ (20) 3. ߦྻΛͬͨཁ (20)
4. ԋशʹ͙࣍ԋश (45)
Agenda 1. σʔλͷཁͷඞཁੑ (5) 2. ϕΫτϧΛͬͨཁ (20) 3. ߦྻΛͬͨཁ (20)
4. ԋशʹ͙࣍ԋश (45)
1. σʔλͷཁͷඞཁੑ • σʔλΛूΊ͚ͨͩͰԿஅͰ͖ͳ͍ • σʔλΛཁʢཁʣΛ͢Δ͜ͱͰɼશମ͕ Ͳ͏ͳ͍ͬͯͯɼΒ͖͕ͭͲ͏ͳ͍ͬͯ Δ͔͕ѲͰ͖Δ • தؒςετͰऔͬͨ55ྑ͍ʁɼѱ͍ʁ
• ظςετͷฏۉ͕80ͷ߹ɼશମతʹྑ͍Ͱ͖͙͍͋ʁ • ฏۉɾΒ͖ͭʢSDʣʹΑΔʢ͠ɼςετͷ༰ ʹΑΔʢ͠ɼԿΛ͔֬Ί͍͔ͨʹΑΔʣʣ
Agenda 1. σʔλͷཁͷඞཁੑ (5) 2. ϕΫτϧΛͬͨཁ (20) 3. ߦྻΛͬͨཁ (20)
4. ԋशʹ͙࣍ԋश (45)
Agenda 1. σʔλͷཁͷඞཁੑ (5) 2. ϕΫτϧΛͬͨཁ (20) 3. ߦྻΛͬͨཁ (20)
4. ԋशʹ͙࣍ԋश (45)
• sum() ؔ • x <- c(1, 2, 3, 4,
5) • sum(x) • sum(x[2 : 4]) • ϕΫτϧͷ2൪͔Β4൪ͷཁૉͷ૯ • y <- c(1:1000) • sum(y) • sum(y[27:89]) 2. ϕΫτϧΛͬͨཁ
• mean() ؔ: ฏۉΛٻΊΔ • ฏۉ: σʔλͷ૯ΛσʔλͷݸͰׂͬͨ • mean(x); mean(y)
• median() ؔ: தԝΛٻΊΔ • தԝ: খ͍͞ॱʹฒͨ࣌ʹਅΜதͷॱҐʹ͘Δ • median(x); median(y) • ฏۉͷ᠘ • ۃͳ͕ࠞ͟ΔͱӨڹΛड͚ͯ͠·͏ • a <- c(100, 200, 300, 400, 500) • mean(a); median(a) • b <- c(100, 200, 300, 400, 5000) • mean(b); median(b) 2. ϕΫτϧΛͬͨཁ
• max() ؔ: ࠷େΛٻΊΔ • min() ؔ: ࠷খΛٻΊΔ • var()
ؔ: ࢄΛٻΊΔ • sd() ؔ: ඪ४ภࠩΛٻΊΔ • summary() ؔ: ཁ౷ܭྔΛҰʹٻΊΔ • ࠷খ, தԝ, ฏۉ, ࠷େ, Լଆ25%, ্ଆ25% • max(x); max(y) • min(x); min(y) • var(x);var(y) • sd(x); sd(y) • summary(x); summary(y) 2. ϕΫτϧΛͬͨཁ
Agenda 1. σʔλͷཁͷඞཁੑ (5) 2. ϕΫτϧΛͬͨཁ (20) 3. ߦྻΛͬͨཁ (20)
4. ԋशʹ͙࣍ԋश (45)
Agenda 1. σʔλͷཁͷඞཁੑ (5) 2. ϕΫτϧΛͬͨཁ (20) 3. ߦྻΛͬͨཁ (20)
4. ԋशʹ͙࣍ԋश (45)
3. ߦྻΛͬͨཁ • ѻ͍ํϕΫτϧͷཁͱಉ͡ • matrix.4 <- matrix(c(1, 2, 3,
4, 5, 6, 7, 8, 9), nrow = 3, ncol = 3, byrow = TRUE) • matrix.4 ͰதΛ֬ೝ • sum(matrix.4) #ߦྻʹ͋Δͷ૯ • mean(matrix.4) #ߦྻશମͷฏۉ • sum(matrix.4[1,]) #ߦྻ1ߦͷ૯ • mean(matrix.4[,2:3]) #ߦྻ2-3ྻͷฏۉ
3. ߦྻΛͬͨཁ • ͪΐͬͱɾཁૉΛେ͖ͯ͘͠Έ·͠ΐ͏ • matrix.5 <- matrix(c(1:5000), nrow =
100, ncol = 50, byrow = TRUE) • matrix.5 ͰதΛ֬ೝ • sum(matrix.5) #ߦྻʹ͋Δͷ૯ • mean(matrix.5) #ߦྻશମͷฏۉ
3. ߦྻΛͬͨཁ • rowSums() ؔ; colSums() ؔ; • ߦ͝ͱྻ͝ͱʹ૯ΛٻΊΔؔ •
rowSums(matrix.4); rowSums(matrix.5) • colSums(matrix.4); colSums(matrix.5) • rowMeans () ؔ; colMeans() ؔ • ߦ͝ͱྻ͝ͱʹฏۉΛٻΊΔؔ • rowMeans(matrix.4); rowMeans(matrix.5) • colMeans(matrix.4); colMeans(matrix.5)
3. ߦྻΛͬͨཁ • apply() ؔ • ߦ͝ͱྻ͝ͱʹ༷ʑͳؔΛద༻ • apply(ߦྻ໊, Ϛʔδϯ,
ద༻͢Δؔʣ • Ϛʔδϯ͕1ͳΒߦ͝ͱɼ2ͳΒྻ͝ͱ • apply(matrix.4, 1, sum) #ߦ͝ͱͷ૯ • rowSums(matrix.4) ͱಉ͡ॲཧ • apply(matrix.4, 2, mean) #ྻ͝ͱͷฏۉ • colMeans(matrix.4) ͱಉ͡ॲཧ
3. ߦྻΛͬͨཁ • apply() ؔͷଓ͖ • apply(matrix.4, 1, max) •
#ߦ͝ͱͷ࠷େ • apply(matrix.4, 2, summary) • #ྻ͝ͱͷཁ౷ܭྔ
Agenda 1. σʔλͷཁͷඞཁੑ (5) 2. ϕΫτϧΛͬͨཁ (20) 3. ߦྻΛͬͨཁ (20)
4. ԋशʹ͙࣍ԋश (45)
Agenda 1. σʔλͷཁͷඞཁੑ (5) 2. ϕΫτϧΛͬͨཁ (20) 3. ߦྻΛͬͨཁ (20)
4. ԋशʹ͙࣍ԋश (45)
4. ԋशʹ͙࣍ԋश 1. 1͔Β50͔Β·Ͱͷ͕ೖͬͨϕΫτ ϧΛ࡞ͯ͠… 1. ૯, ฏۉ, தԝ, ࠷େ,
࠷খ , ࢄ, ඪ४ภࠩΛٻΊΔ 2. ཁ౷ܭྔΛٻΊΔ
4. ԋशʹ͙࣍ԋशʢώϯτʣ 1. Λൃੜͤ͞ΔʹίϩϯΛ͍·͠ΐ͏ 1. ֤ؔΛηϛίϩϯͰͭͳ͍ͰҰؾʹ࣮ߦ 2. summary() ؔΛ͍·͢
2. 1͔Β10000·Ͱͷ͕ೖͬͨߦྻʢ100ߦɾ100ྻʣΛ࡞ͯ͠… 1. 20ߦʮͱʯ70ߦͷ2ߦͷΈͷ֤૯ΛٻΊΔ 2. 31ྻʮ͔Βʯ80ྻ·Ͱͷ50ྻͷ֤ฏۉΛٻΊΔ 3. ߦ͝ͱɾྻ͝ͱͷ૯ΛٻΊΔʢapply ؔΛ༻ʣ 4.
ߦ͝ͱɾྻ͝ͱͷฏۉΛٻΊΔʢapply ؔΛ༻ʣ 5. ߦ͝ͱɾྻ͝ͱͷཁ౷ܭྔΛٻΊΔʢapply ؔΛ༻ʣ 6. psych ύοέʔδΛͬͯཁ౷ܭྔΛٻΊΔ • ҙͷߦɾྻʹରͯ͠ٻΊͯΈΔ 4. ԋशʹ͙࣍ԋश
2. matrix() ؔΛ͍ɼྻͷࢦఆͱ byrow ͷઃఆʹ༻৺ 1. ߦͷෳࢦఆ c() ؔΛ͍·͠ΐ͏ 2.
ྻͷൣғࢦఆίϩϯΛ͍·͠ΐ͏ 3. apply() ؔͱ sum() ؔΛΈ߹Θͤ·͠ΐ͏ 4. apply() ؔͱ mean() ؔΛΈ߹Θͤ·͠ΐ͏ 5. apply() ؔͷߦͱྻͷࢦఆɼ1 ͔ 2 Ͱ͚·͢ 6. ·ͣ install.packages() ͯ͠ library() Ͱ༗ޮԽ 4. ԋशʹ͙࣍ԋशʢώϯτʣ
Enjoy ! twitter: @sakaue e-mail: tsakaue<AT>hiroshima-u.ac.jp