From 356110da92e08dd561677e9b2430ac15caaae954 Mon Sep 17 00:00:00 2001 From: Kosuke Imai Date: Mon, 21 Aug 2017 00:37:03 -0400 Subject: [PATCH 01/14] primary2008 -> primary2006 --- PREDICTION/prediction.R | 31 +++++++++++++++---------------- PREDICTION/social.csv | 2 +- 2 files changed, 16 insertions(+), 17 deletions(-) diff --git a/PREDICTION/prediction.R b/PREDICTION/prediction.R index a53655b..ddfd11f 100644 --- a/PREDICTION/prediction.R +++ b/PREDICTION/prediction.R @@ -349,7 +349,7 @@ lm(irrigation ~ reserved, data = women) social <- read.csv("social.csv") levels(social$messages) # base level is `Civic' -fit <- lm(primary2008 ~ messages, data = social) +fit <- lm(primary2006 ~ messages, data = social) fit ## ## create indicator variables @@ -357,7 +357,7 @@ fit ## social$Hawthorne <- ifelse(social$messages == "Hawthorne", 1, 0) ## social$Neighbors <- ifelse(social$messages == "Neighbors", 1, 0) ## ## fit the same regression as above by directly using indicator variables -## lm(primary2008 ~ Control + Hawthorne + Neighbors, data = social) +## lm(primary2006 ~ Control + Hawthorne + Neighbors, data = social) ## create a data frame with unique values of `messages' unique.messages <- data.frame(messages = unique(social$messages)) @@ -367,18 +367,18 @@ unique.messages predict(fit, newdata = unique.messages) ## sample average -tapply(social$primary2008, social$messages, mean) +tapply(social$primary2006, social$messages, mean) ## linear regression without intercept -fit.noint <- lm(primary2008 ~ -1 + messages, data = social) +fit.noint <- lm(primary2006 ~ -1 + messages, data = social) fit.noint ## estimated average effect of `Neighbors' condition coef(fit)["messagesNeighbors"] - coef(fit)["messagesControl"] ## difference in means -mean(social$primary2008[social$messages == "Neighbors"]) - - mean(social$primary2008[social$messages == "Control"]) +mean(social$primary2006[social$messages == "Neighbors"]) - + mean(social$primary2006[social$messages == "Control"]) ## adjusted Rsquare adjR2 <- function(fit) { @@ -400,16 +400,16 @@ summary(fit)$adj.r.squared social.voter <- subset(social, primary2004 == 1) ate.voter <- - mean(social.voter$primary2008[social.voter$messages == "Neighbors"]) - - mean(social.voter$primary2008[social.voter$messages == "Control"]) + mean(social.voter$primary2006[social.voter$messages == "Neighbors"]) - + mean(social.voter$primary2006[social.voter$messages == "Control"]) ate.voter ## average effect among those who did not vote social.nonvoter <- subset(social, primary2004 == 0) ate.nonvoter <- - mean(social.nonvoter$primary2008[social.nonvoter$messages == "Neighbors"]) - - mean(social.nonvoter$primary2008[social.nonvoter$messages == "Control"]) + mean(social.nonvoter$primary2006[social.nonvoter$messages == "Neighbors"]) - + mean(social.nonvoter$primary2006[social.nonvoter$messages == "Control"]) ate.nonvoter ## difference @@ -420,16 +420,16 @@ social.neighbor <- subset(social, (messages == "Control") | (messages == "Neighbors")) ## standard way to generate main and interaction effects -fit.int <- lm(primary2008 ~ primary2004 + messages + primary2004:messages, +fit.int <- lm(primary2006 ~ primary2004 + messages + primary2004:messages, data = social.neighbor) fit.int -## lm(primary2008 ~ primary2004 * messages, data = social.neighbor) +## lm(primary2006 ~ primary2004 * messages, data = social.neighbor) -social.neighbor$age <- 2008 - social.neighbor$yearofbirth +social.neighbor$age <- 2006 - social.neighbor$yearofbirth summary(social.neighbor$age) -fit.age <- lm(primary2008 ~ age * messages, data = social.neighbor) +fit.age <- lm(primary2006 ~ age * messages, data = social.neighbor) fit.age ## age = 25, 45, 65, 85 in Neighbors group @@ -446,7 +446,7 @@ ate.age <- predict(fit.age, newdata = age.neighbor) - ate.age -fit.age2 <- lm(primary2008 ~ age + I(age^2) + messages + age:messages + +fit.age2 <- lm(primary2006 ~ age + I(age^2) + messages + age:messages + I(age^2):messages, data = social.neighbor) fit.age2 @@ -539,4 +539,3 @@ tory.fit3 <- lm(margin.pre ~ margin, data = MPs.tory[MPs.tory$margin < 0, ]) tory.fit4 <- lm(margin.pre ~ margin, data = MPs.tory[MPs.tory$margin > 0, ]) ## the difference between two intercepts is the estimated effect coef(tory.fit4)[1] - coef(tory.fit3)[1] - diff --git a/PREDICTION/social.csv b/PREDICTION/social.csv index a7a8939..3956cf2 100644 --- a/PREDICTION/social.csv +++ b/PREDICTION/social.csv @@ -1,4 +1,4 @@ -"sex","yearofbirth","primary2004","messages","primary2008","hhsize" +"sex","yearofbirth","primary2004","messages","primary2006","hhsize" "male",1941,0,"Civic Duty",0,2 "female",1947,0,"Civic Duty",0,2 "male",1951,0,"Hawthorne",1,3 From c75db7715080e101e552d4fbd00a6a0c130fd57f Mon Sep 17 00:00:00 2001 From: Kosuke Imai Date: Mon, 21 Aug 2017 08:25:01 -0700 Subject: [PATCH 02/14] edits --- errata/QSSerrata.Rmd | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/errata/QSSerrata.Rmd b/errata/QSSerrata.Rmd index e9361fc..f8b7c15 100644 --- a/errata/QSSerrata.Rmd +++ b/errata/QSSerrata.Rmd @@ -1,9 +1,10 @@ --- -title: 'Errata for Quantitative Social Science: An Introduction (Princeton University - Press, 2017)' +title: 'Errata for *Quantitative Social Science: An Introduction* (Princeton University + Press, 2017) First Printing' author: "Kosuke Imai" date: "1/27/2018" output: + html_document: default pdf_document: default --- From d41fd356152c5e8f91d67295b9aeb56389aae261 Mon Sep 17 00:00:00 2001 From: Kosuke Imai Date: Mon, 21 Aug 2017 08:45:08 -0700 Subject: [PATCH 03/14] up --- errata/QSSerrata.Rmd | 1 - 1 file changed, 1 deletion(-) diff --git a/errata/QSSerrata.Rmd b/errata/QSSerrata.Rmd index f8b7c15..9b16ba7 100644 --- a/errata/QSSerrata.Rmd +++ b/errata/QSSerrata.Rmd @@ -4,7 +4,6 @@ title: 'Errata for *Quantitative Social Science: An Introduction* (Princeton Uni author: "Kosuke Imai" date: "1/27/2018" output: - html_document: default pdf_document: default --- From 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15:27:53 -0700 Subject: [PATCH 05/14] up --- errata/QSSerrata.Rmd | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/errata/QSSerrata.Rmd b/errata/QSSerrata.Rmd index 9b16ba7..906af03 100644 --- a/errata/QSSerrata.Rmd +++ b/errata/QSSerrata.Rmd @@ -1,6 +1,10 @@ --- +<<<<<<< HEAD title: 'Errata for *Quantitative Social Science: An Introduction* (Princeton University Press, 2017) First Printing' +======= +title: 'Errata for First Printing of *Quantitative Social Science: An Introduction* (Princeton University Press)' +>>>>>>> up author: "Kosuke Imai" date: "1/27/2018" output: @@ -145,4 +149,4 @@ $$\mathbb{E}(\overline{X}_n) = \mathbb{E}\left(\frac{1}{n} \sum_{i=1}^n {\color{ # Acknowledgements -Thanks to Jeff Arnold, Matt Blackwell, Fallend Franz, Joel Gautschi, Mamiko Hamakado, Masataka Harada, Yuko Kasuya, Soyoung Lee, Rocio Titiunik, and Sandy Weisberg for pointing out the errors. \ No newline at end of file +Thanks to Jeff Arnold, Masahiko Asano, Matt Blackwell, Fallend Franz, Joel Gautschi, Mamiko Hamakado, Masataka Harada, Yuko Kasuya, Soyoung Lee, Rocio Titiunik, and Sandy Weisberg for pointing out the errors. From 18a5636700662426200fda4f5ce2d6fd41e7b994 Mon Sep 17 00:00:00 2001 From: kosukeimai Date: Mon, 11 Sep 2017 23:15:02 -0400 Subject: [PATCH 06/14] merged from master --- errata/QSSerrata.Rmd | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/errata/QSSerrata.Rmd b/errata/QSSerrata.Rmd index 906af03..f5a4ebe 100644 --- a/errata/QSSerrata.Rmd +++ b/errata/QSSerrata.Rmd @@ -1,10 +1,5 @@ --- -<<<<<<< HEAD -title: 'Errata for *Quantitative Social Science: An Introduction* (Princeton University - Press, 2017) First Printing' -======= title: 'Errata for First Printing of *Quantitative Social Science: An Introduction* (Princeton University Press)' ->>>>>>> up author: "Kosuke Imai" date: "1/27/2018" output: @@ -128,7 +123,6 @@ $$\mathbb{E}(\overline{X}_n) = \mathbb{E}\left(\frac{1}{n} \sum_{i=1}^n {\color{ * page 305. Add a sentence to the end of the last paragraph whose last sentence ends with "approximated by the standard normal distribution." The sentence to be added is "To illustrate the quincunx through Monte Carlo simulations, we sample from the Bernoulli distribution or equivalently the Binomial distribution with size $n=1$." - # Chapter 7 ## Section 7.1.3 @@ -150,3 +144,4 @@ $$\mathbb{E}(\overline{X}_n) = \mathbb{E}\left(\frac{1}{n} \sum_{i=1}^n {\color{ # Acknowledgements Thanks to Jeff Arnold, Masahiko Asano, Matt Blackwell, Fallend Franz, Joel Gautschi, Mamiko Hamakado, Masataka Harada, Yuko Kasuya, Soyoung Lee, Rocio Titiunik, and Sandy Weisberg for pointing out the errors. + From 2a940061b62035b6754f6acd7ecf39a4d08e5558 Mon Sep 17 00:00:00 2001 From: Kosuke Imai Date: Sat, 3 Feb 2018 07:19:44 -0500 Subject: [PATCH 07/14] Update QSSerrata.Rmd --- errata/QSSerrata.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/errata/QSSerrata.Rmd b/errata/QSSerrata.Rmd index f5a4ebe..1131dcc 100644 --- a/errata/QSSerrata.Rmd +++ b/errata/QSSerrata.Rmd @@ -1,5 +1,5 @@ --- -title: 'Errata for First Printing of *Quantitative Social Science: An Introduction* (Princeton University Press)' +title: 'Errata for *Quantitative Social Science: An Introduction* (Princeton University Press)' author: "Kosuke Imai" date: "1/27/2018" output: From f2be949dd150e4ad3326a3e26f82609b45324d7a Mon Sep 17 00:00:00 2001 From: kosukeimai Date: Sat, 3 Feb 2018 07:34:37 -0500 Subject: [PATCH 08/14] primary2008 -> primary2006 --- PREDICTION/prediction.Rmd | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/PREDICTION/prediction.Rmd b/PREDICTION/prediction.Rmd index 9bb3912..9b1cc5f 100644 --- a/PREDICTION/prediction.Rmd +++ b/PREDICTION/prediction.Rmd @@ -1,7 +1,7 @@ --- title: 'Code for QSS Chapter 4: Prediction' author: "Kosuke Imai" -date: "First Printing" +date: "Second Printing" output: pdf_document: default --- @@ -394,7 +394,7 @@ lm(irrigation ~ reserved, data = women) social <- read.csv("social.csv") levels(social$messages) # base level is `Civic' -fit <- lm(primary2008 ~ messages, data = social) +fit <- lm(primary2006 ~ messages, data = social) fit ## ## create indicator variables @@ -402,7 +402,7 @@ fit ## social$Hawthorne <- ifelse(social$messages == "Hawthorne", 1, 0) ## social$Neighbors <- ifelse(social$messages == "Neighbors", 1, 0) ## ## fit the same regression as above by directly using indicator variables -## lm(primary2008 ~ Control + Hawthorne + Neighbors, data = social) +## lm(primary2006 ~ Control + Hawthorne + Neighbors, data = social) ## create a data frame with unique values of `messages' unique.messages <- data.frame(messages = unique(social$messages)) @@ -412,18 +412,18 @@ unique.messages predict(fit, newdata = unique.messages) ## sample average -tapply(social$primary2008, social$messages, mean) +tapply(social$primary2006, social$messages, mean) ## linear regression without intercept -fit.noint <- lm(primary2008 ~ -1 + messages, data = social) +fit.noint <- lm(primary2006 ~ -1 + messages, data = social) fit.noint ## estimated average effect of `Neighbors' condition coef(fit)["messagesNeighbors"] - coef(fit)["messagesControl"] ## difference in means -mean(social$primary2008[social$messages == "Neighbors"]) - - mean(social$primary2008[social$messages == "Control"]) +mean(social$primary2006[social$messages == "Neighbors"]) - + mean(social$primary2006[social$messages == "Control"]) ## adjusted Rsquare adjR2 <- function(fit) { @@ -448,16 +448,16 @@ summary(fit)$adj.r.squared social.voter <- subset(social, primary2004 == 1) ate.voter <- - mean(social.voter$primary2008[social.voter$messages == "Neighbors"]) - - mean(social.voter$primary2008[social.voter$messages == "Control"]) + mean(social.voter$primary2006[social.voter$messages == "Neighbors"]) - + mean(social.voter$primary2006[social.voter$messages == "Control"]) ate.voter ## average effect among those who did not vote social.nonvoter <- subset(social, primary2004 == 0) ate.nonvoter <- - mean(social.nonvoter$primary2008[social.nonvoter$messages == "Neighbors"]) - - mean(social.nonvoter$primary2008[social.nonvoter$messages == "Control"]) + mean(social.nonvoter$primary2006[social.nonvoter$messages == "Neighbors"]) - + mean(social.nonvoter$primary2006[social.nonvoter$messages == "Control"]) ate.nonvoter ## difference @@ -468,16 +468,16 @@ social.neighbor <- subset(social, (messages == "Control") | (messages == "Neighbors")) ## standard way to generate main and interaction effects -fit.int <- lm(primary2008 ~ primary2004 + messages + primary2004:messages, +fit.int <- lm(primary2006 ~ primary2004 + messages + primary2004:messages, data = social.neighbor) fit.int -## lm(primary2008 ~ primary2004 * messages, data = social.neighbor) +## lm(primary2006 ~ primary2004 * messages, data = social.neighbor) social.neighbor$age <- 2008 - social.neighbor$yearofbirth summary(social.neighbor$age) -fit.age <- lm(primary2008 ~ age * messages, data = social.neighbor) +fit.age <- lm(primary2006 ~ age * messages, data = social.neighbor) fit.age ## age = 25, 45, 65, 85 in Neighbors group @@ -494,7 +494,7 @@ ate.age <- predict(fit.age, newdata = age.neighbor) - ate.age -fit.age2 <- lm(primary2008 ~ age + I(age^2) + messages + age:messages + +fit.age2 <- lm(primary2006 ~ age + I(age^2) + messages + age:messages + I(age^2):messages, data = social.neighbor) fit.age2 From 381462317ef97fbbb05fb81ab773f2cd248b2b48 Mon Sep 17 00:00:00 2001 From: kosukeimai Date: Sat, 3 Feb 2018 09:00:54 -0500 Subject: [PATCH 09/14] up --- errata/QSSerrata.pdf | Bin 256509 -> 255012 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/errata/QSSerrata.pdf b/errata/QSSerrata.pdf index 93d5ce631d7ebaebeef61909493c3ffc402eae82..69144e31832a34d03861afdf4218622f0af34238 100644 GIT binary patch delta 38350 zcmV({K+?bc(+{M`50E7TGB-GvLCpgwf4x`9Zrex@z2_?kayZ6O6Par3r!8jS4 zK27GpNR&iaCIym8;=fN-H$`ofMvj48xKwv-ua>T+(JZ3Thc~o+|B<}8xMnWmlxWRW zluRQA-^TGsJ4dK?Q8J1CjYn0LHtAp}D37OQHTW<2^WvJ*Z9Z#>RUD*xhJRLRf6?Sk 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In the `tm` package version 0.7-1, which was released after this book went into the printer, it introduced `SimpleCorpus`, which became the default output object class for the `Corpus()` function. This change affects the results though the overall conclusions of the analysis remain similar. To obtain the results in the book, you will have to specify `VCorpus` as the output class using the following syntax: +* page 192. In the `tm` package version 0.7-1, which was released after this book went into the printer, it introduced `SimpleCorpus`, which became the default output object class for the `Corpus()` function. This change affects the results though the overall conclusions of the analysis remain similar. To obtain the results in the book, you will have to specify `VCorpus` as the output class using the following syntax: ```{r, eval = FALSE} corpus.raw <- VCorpus(DirSource(directory = "federalist", pattern = "fp")) @@ -64,7 +64,12 @@ corpus.raw <- VCorpus(DirSource(directory = "federalist", pattern = "fp")) ## Section 5.1.4 -* p. 200, third paragraph. Change "we focus on the usage of articles, prepositions, and conjunctions" to "we focus on the usage of adjectives, adverbs, prepositions and conjunctions" +* page 200, third paragraph. Change "we focus on the usage of articles, prepositions, and conjunctions" to "we focus on the usage of adjectives, adverbs, prepositions and conjunctions" + +## Section 5.2.2 + +* page 209, first paragraph. Add the following sentence to the end of the paragraph, "If a node is not connected to any other node, then the number of nodes in the graph, i.e., 16 in this case, is used instead of the length of the shortest path. Thus, Pucci family's closeness is equal to $1 / (15 \times 16)$ +" ## Section 5.2.3 @@ -77,6 +82,12 @@ senator <- read.csv("twitter-senator.csv", stringsAsFactors = FALSE) so that the names of senators will be treated as a character variable instead of a factor variable (default). Unfortunately, this changes the results of the rest of this subsection 5.2 although it does not change the code. +## Section 5.3.1 + +* page 221, first paragraph. Change "River Thames (indicated by the blue region)" to "River Thames (indicated by the red region)". Change "further south (indicated by the red region)" to "further south (indicated by the blue region)". + +* page 222, Figure 5.5 caption. Change "blue (Lambeth) and red (Southwark and Vauxhall)" to "red (Lambeth) and blue (Southwark and Vauxhall)" + ## Section 5.3.6 * page 235, second paragraph. 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a/errata/QSSerrata.Rmd b/errata/QSSerrata.Rmd index ca71894..be2f260 100644 --- a/errata/QSSerrata.Rmd +++ b/errata/QSSerrata.Rmd @@ -1,7 +1,7 @@ --- title: 'Errata for *Quantitative Social Science: An Introduction* (Princeton University Press)' author: "Kosuke Imai" -date: "1/27/2018" +date: "February 3, 2018" output: pdf_document: default --- @@ -68,7 +68,7 @@ corpus.raw <- VCorpus(DirSource(directory = "federalist", pattern = "fp")) ## Section 5.2.2 -* page 209, first paragraph. Add the following sentence to the end of the paragraph, "If a node is not connected to any other node, then the number of nodes in the graph, i.e., 16 in this case, is used instead of the length of the shortest path. Thus, Pucci family's closeness is equal to $1 / (15 \times 16)$ +* page 209, first paragraph. Add the following footnote to the end of the paragraph, "If a node is not connected to any other node, then the number of nodes in the graph, i.e., 16 in this case, is used instead of the length of the shortest path. Thus, Pucci family's closeness is equal to $1 / (15 \times 16)$ " ## Section 5.2.3 @@ -84,9 +84,13 @@ so that the names of senators will be treated as a character variable instead of ## Section 5.3.1 -* page 221, first paragraph. Change "River Thames (indicated by the blue region)" to "River Thames (indicated by the red region)". Change "further south (indicated by the red region)" to "further south (indicated by the blue region)". +* page 221, first paragraph. Change "the neighborhoods along the River Thames (indicated by the blue region)" to "the area further south (indicated by the red region)". Change "the area further south (indicated by the red region)" to "the neighborhoods along the River Thames (indicated by the blue region)". -* page 222, Figure 5.5 caption. Change "blue (Lambeth) and red (Southwark and Vauxhall)" to "red (Lambeth) and blue (Southwark and Vauxhall)" +* page 222, Figure 5.5 caption. Change "blue (Lambeth) and red (Southwark and Vauxhall)" to "red (Lambeth) and blue (Southwark and Vauxhall)". + +## Section 5.3.5 + +* page 231, first paragraph. Change "Bentonville, Arkansas" to "Rogers, Arkansas". ## Section 5.3.6 @@ -94,6 +98,16 @@ so that the names of senators will be treated as a character variable instead of # Chapter 6 +## Section 6.1.5 + +* page 253, first paragraph. Change "$0.84 = 1 - 0.016 - 0.135$" to "$0.85 \approx 1 - 252/15504 - 2100/15504$". + +* page 253, footnote 1. Add the following sentence to the footnote, "Although there are a total of 86 words from `For` to `time`, we follow the original article and use 85". + +## Section 6.2.1 + +* page 259, Table 6.2. We are missing the last row for `Other` whose entries should be 0.017 (Female), 0.017 (Male), 0.034 (Marginal prob.) + ## Section 6.2.2 * page 265. The original code for the Monty Hall problem does not return the right answer when the order of doors is changed. This is due to the fact that the `sample()` function behaves differently when an integer is supplied as an input. 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deletions(-) diff --git a/errata/QSSerrata.Rmd b/errata/QSSerrata.Rmd index be2f260..7b8ef57 100644 --- a/errata/QSSerrata.Rmd +++ b/errata/QSSerrata.Rmd @@ -26,10 +26,14 @@ knitr::opts_chunk$set(echo = TRUE) # Chapter 3 -## Section 3.3 +## Section 3.3.2 * page 83, first paragraph. Change "skewed towards the left" to "right-skewed" +## Section 3.7.3 + +* page 114, first paragraph. Change "produces 1 cluster containing only Democrats and the other consisting only of Republicans" to "produces one cluster containing all Democrats except one and the other consisting only of Republicans". + # Chapter 4 ## Section 4.1.1 @@ -94,6 +98,8 @@ so that the names of senators will be treated as a character variable instead of ## Section 5.3.6 +* page 235, first pragraph. Chagen "Midwestern" to "Southern". + * page 235, second paragraph. Change "by opening a web browser and clicking `File > Open file...` in the menu." to "opening the resulting `walmart.html` file in a web browser." # Chapter 6 @@ -168,5 +174,5 @@ $$\mathbb{E}(\overline{X}_n) = \mathbb{E}\left(\frac{1}{n} \sum_{i=1}^n {\color{ # Acknowledgements -Thanks to Jeff Arnold, Masahiko Asano, Matt Blackwell, Fallend Franz, Joel Gautschi, Mamiko Hamakado, Masataka Harada, Yuko Kasuya, Soyoung Lee, Rocio Titiunik, and Sandy Weisberg for pointing out the errors. +Thanks to Jeff Arnold, Masahiko Asano, Matt Blackwell, Michael Donnelly, Fallend Franz, Joel Gautschi, Mamiko Hamakado, Masataka Harada, Yuko Kasuya, Soyoung Lee, Rocio Titiunik, and Sandy Weisberg for pointing out the errors. diff --git a/errata/QSSerrata.pdf b/errata/QSSerrata.pdf index f46f4ad09b916249978c63b9bb6a2efebefef7df..19e6bc17a71395a570bf80c870daa26d6a8d25bd 100644 GIT binary patch delta 52069 zcmZsCQ*fYd)MRYi6Wg|}iET`5^Nnq1V%v5mwryi#PrTp1TYI&8+o$T(b91`-^mBUc 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In the second code chunk, the results should be "`1.5 NA NA`" rather than "`1 NA NA`" +## Section 4.2.1 + +* page 140, first paragraph. Add the following sentence immediately after the first sentence, "Here, the competence measure for a Democratic candidate, for example, represents the proportion of experimental subjects who rated the Democrat more competent than the Republican." + ## Section 4.2.3 * page 148. 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z+r-4o*60K-t(uy;Dkar@-tNj*dzRn-x6gV`p7G}TM6qXPHd!k=LtiMKa%}M2!@h!P z4P$V{_dwqTl5>vkZqH)OK4`gT_lnX4TZ{g3_N|OLEaLSa@)nylo?Xya&K=4WeZY0k z>=kPhq<6HK_ut}+Iw*6G_X^(z;h1B)`?8qdKH$1%8X{TJu)0FQ%8|9eHKtGR0&m5X zii|G}aSl5lJ-x{Oi!nD-%#?wR@ohGnDN7q;@+Ffj@f*An%QFnVHSBHJ*zM>d`i6Op zJCBarfw~PH#}gLUv+*??uh3E8YjS?TDc9X~_yI>n*Kw!E8WzVUzU@AGywKp(M1zio zBb)`3lsg3+yMhyV=CEDP3p+JqF5}}ni?ssVRz%(re%fW^VtnfK&eM|Hmqpn%6n2TZ zoPFfFNGnxR@26bfr0WEPi*y$0Facqb_BD-7+CthwtIf9GT3u7Q`}S$^ zm8bH&4c*(cMc!be!XA{!i`Npf!CvLs7@ftvun&I)9j)>9)`R>DK&zl3T^b gnE0<@cDL%M$u;ksZvBl}p3B_CfJ;@?)!&T^0K;UNh5!Hn From 5aaa7710ed03ab66e47ace9e50f94d45fa31a245 Mon Sep 17 00:00:00 2001 From: kosukeimai Date: Sun, 4 Feb 2018 22:45:49 -0500 Subject: [PATCH 14/14] separate 1st and 2nd printings --- errata/QSSerrata.Rmd | 144 +++++++++++++++++++++++-------------------- errata/QSSerrata.pdf | Bin 259684 -> 262474 bytes 2 files changed, 78 insertions(+), 66 deletions(-) diff --git a/errata/QSSerrata.Rmd b/errata/QSSerrata.Rmd index b2ed05d..cdb9908 100644 --- a/errata/QSSerrata.Rmd +++ b/errata/QSSerrata.Rmd @@ -10,115 +10,127 @@ output: knitr::opts_chunk$set(echo = TRUE) ``` -# Table of Contents +# Corrections applicable to the first and second printings -## Section 4.3.3 +## Chapter 3 -* page ix. Change "Heterogenous" to "Heterogeneous" +### Section 3.7.3 -# Chapter 1 +* page 114, first paragraph. Change "produces 1 cluster containing only Democrats and the other consisting only of Republicans" to "produces one cluster containing all Democrats except one and the other consisting only of Republicans". -## Section 1.3.8 +## Chapter 4 -* page 27, first paragraph. Change "The `lintr()` function in the **lintr** package" to "The `lint()` function in the **lintr** package" +### Section 4.1.1 -* page 27, code output. Change "`## UNpop.R:8:7: style`" to "`## UNpop.R:7:7: style`" +* page 126. In the second code chunk, the results should be "`1.5 NA NA`" rather than "`1 NA NA`" -# Chapter 3 +### Section 4.2.1 -## Section 3.3.2 +* page 140, first paragraph. Add the following sentence immediately after the first sentence, "Here, the competence measure for a Democratic candidate, for example, represents the proportion of experimental subjects who rated the Democrat more competent than the Republican." -* page 83, first paragraph. Change "skewed towards the left" to "right-skewed" +### Section 4.2.3 -## Section 3.7.3 +* page 148. Change "roughly 13 percentage points" to "12 -- 13 percentage points" -* page 114, first paragraph. Change "produces 1 cluster containing only Democrats and the other consisting only of Republicans" to "produces one cluster containing all Democrats except one and the other consisting only of Republicans". +## Chapter 5 -# Chapter 4 +### Section 5.1.1 -## Section 4.1.1 +* page 192. In the `tm` package version 0.7-1, which was released after this book went into the printer, it introduced `SimpleCorpus`, which became the default output object class for the `Corpus()` function. This change affects the results though the overall conclusions of the analysis remain similar. To obtain the results in the book, you will have to specify `VCorpus` as the output class using the following syntax: -* page 126. In the second code chunk, the results should be "`1.5 NA NA`" rather than "`1 NA NA`" +```{r, eval = FALSE} +corpus.raw <- VCorpus(DirSource(directory = "federalist", pattern = "fp")) +``` -## Section 4.2.1 +### Section 5.1.4 -* page 140, first paragraph. Add the following sentence immediately after the first sentence, "Here, the competence measure for a Democratic candidate, for example, represents the proportion of experimental subjects who rated the Democrat more competent than the Republican." +* page 200, third paragraph. Change "we focus on the usage of articles, prepositions, and conjunctions" to "we focus on the usage of adjectives, adverbs, prepositions and conjunctions" -## Section 4.2.3 +### Section 5.2.2 -* page 148. Change "roughly 13 percentage points" to "12 -- 13 percentage points" +* page 209, first paragraph. Add the following footnote to the end of the paragraph, "If a node is not connected to any other node, then the number of nodes in the graph, i.e., 16 in this case, is used instead of the length of the shortest path. Thus, Pucci family's closeness is equal to $1 / (15 \times 16)$" -## Section 4.3.3 +### Section 5.3.1 -* page 170. Change "4.3.3 HETEROGENOUS TREATMENT EFFECTS" to "4.3.3 HETEROGENEOUS TREATMENT EFFECTS". +* page 221, first paragraph. Change "the neighborhoods along the River Thames (indicated by the blue region)" to "the area further south (indicated by the red region)". Change "the area further south (indicated by the red region)" to "the neighborhoods along the River Thames (indicated by the blue region)". -* page 170. Chage "helpful for exploring *heterogenous treatment effects*" to "helpful for exploring *heterogeneous treatment effects*". +* page 222, Figure 5.5 caption. Change "blue (Lambeth) and red (Southwark and Vauxhall)" to "red (Lambeth) and blue (Southwark and Vauxhall)". -* page 170. Change "To illustrate the analysis of heterogenous treatment effects" to "To illustrate the analysis of heterogeneous treatment effects" +### Section 5.3.5 -* pages 170 -- 176. Throughout this section, the `primary2008` variable should be labeled as `primary2006` so that it matches with the `social.csv` data file introduced in Chapter 2. For now, we include another version of `social.csv` in this chapter's folder so that users can apply the code. +* page 231, first paragraph. Change "Bentonville, Arkansas" to "Rogers, Arkansas". -* page 181. Change "We discussed how to estimate heterogenous treatment effects" to "We discussed how to estimate heterogeneous treatment effects" +### Section 5.3.6 -# Chapter 5 +* page 235, first pragraph. Chagen "Midwestern" to "Southern". -## Section 5.1.1 +## Chapter 6 -* page 192. In the `tm` package version 0.7-1, which was released after this book went into the printer, it introduced `SimpleCorpus`, which became the default output object class for the `Corpus()` function. This change affects the results though the overall conclusions of the analysis remain similar. To obtain the results in the book, you will have to specify `VCorpus` as the output class using the following syntax: +### Section 6.1.5 -```{r, eval = FALSE} -corpus.raw <- VCorpus(DirSource(directory = "federalist", pattern = "fp")) -``` +* page 253, first paragraph. Change "$0.84 = 1 - 0.016 - 0.135$" to "$0.85 \approx 1 - 252/15504 - 2100/15504$". -## Section 5.1.4 +* page 253, footnote 1. Add the following sentence to the footnote, "Although there are a total of 86 words from `For` to `time`, we follow the original article and use 85". -* page 200, third paragraph. Change "we focus on the usage of articles, prepositions, and conjunctions" to "we focus on the usage of adjectives, adverbs, prepositions and conjunctions" +### Section 6.2.1 -## Section 5.2.2 +* page 259, Table 6.2. We are missing the last row for `Other` whose entries should be 0.017 (Female), 0.017 (Male), 0.034 (Marginal prob.) -* page 209, first paragraph. Add the following footnote to the end of the paragraph, "If a node is not connected to any other node, then the number of nodes in the graph, i.e., 16 in this case, is used instead of the length of the shortest path. Thus, Pucci family's closeness is equal to $1 / (15 \times 16)$ -" -## Section 5.2.3 +# Corrections only applicable to the first printing -* page 212. The code chunk that loads the data sets need to be changed to: +## Table of Contents -```{r, eval = FALSE} -twitter <- read.csv("twitter-following.csv", stringsAsFactors = FALSE) -senator <- read.csv("twitter-senator.csv", stringsAsFactors = FALSE) -``` +* page ix. Change "Heterogenous" to "Heterogeneous" in the Section 4.3.3 title -so that the names of senators will be treated as a character variable instead of a factor variable (default). Unfortunately, this changes the results of the rest of this subsection 5.2 although it does not change the code. +## Chapter 1 -## Section 5.3.1 +### Section 1.3.8 -* page 221, first paragraph. Change "the neighborhoods along the River Thames (indicated by the blue region)" to "the area further south (indicated by the red region)". Change "the area further south (indicated by the red region)" to "the neighborhoods along the River Thames (indicated by the blue region)". +* page 27, first paragraph. Change "The `lintr()` function in the **lintr** package" to "The `lint()` function in the **lintr** package" -* page 222, Figure 5.5 caption. Change "blue (Lambeth) and red (Southwark and Vauxhall)" to "red (Lambeth) and blue (Southwark and Vauxhall)". +* page 27, code output. Change "`## UNpop.R:8:7: style`" to "`## UNpop.R:7:7: style`" -## Section 5.3.5 +## Chapter 3 -* page 231, first paragraph. Change "Bentonville, Arkansas" to "Rogers, Arkansas". +### Section 3.3.2 -## Section 5.3.6 +* page 83, first paragraph. Change "skewed towards the left" to "right-skewed" -* page 235, first pragraph. Chagen "Midwestern" to "Southern". +## Chapter 4 -* page 235, second paragraph. Change "by opening a web browser and clicking `File > Open file...` in the menu." to "opening the resulting `walmart.html` file in a web browser." +### Section 4.3.3 -# Chapter 6 +* page 170. Change "4.3.3 HETEROGENOUS TREATMENT EFFECTS" to "4.3.3 HETEROGENEOUS TREATMENT EFFECTS". -## Section 6.1.5 +* page 170. Chage "helpful for exploring *heterogenous treatment effects*" to "helpful for exploring *heterogeneous treatment effects*". -* page 253, first paragraph. Change "$0.84 = 1 - 0.016 - 0.135$" to "$0.85 \approx 1 - 252/15504 - 2100/15504$". +* page 170. Change "To illustrate the analysis of heterogenous treatment effects" to "To illustrate the analysis of heterogeneous treatment effects" -* page 253, footnote 1. Add the following sentence to the footnote, "Although there are a total of 86 words from `For` to `time`, we follow the original article and use 85". +* pages 170 -- 176. Throughout this section, the `primary2008` variable should be labeled as `primary2006` so that it matches with the `social.csv` data file introduced in Chapter 2. For now, we include another version of `social.csv` in this chapter's folder so that users can apply the code. -## Section 6.2.1 +* page 181. Change "We discussed how to estimate heterogenous treatment effects" to "We discussed how to estimate heterogeneous treatment effects" -* page 259, Table 6.2. We are missing the last row for `Other` whose entries should be 0.017 (Female), 0.017 (Male), 0.034 (Marginal prob.) +## Chapter 5 + +### Section 5.2.3 + +* page 212. The code chunk that loads the data sets need to be changed to: + +```{r, eval = FALSE} +twitter <- read.csv("twitter-following.csv", stringsAsFactors = FALSE) +senator <- read.csv("twitter-senator.csv", stringsAsFactors = FALSE) +``` + +so that the names of senators will be treated as a character variable instead of a factor variable (default). Unfortunately, this changes the results of the rest of this subsection 5.2 although it does not change the code. + +### Section 5.3.6 + +* page 235, second paragraph. Change "by opening a web browser and clicking `File > Open file...` in the menu." to "opening the resulting `walmart.html` file in a web browser." + +## Chapter 6 -## Section 6.2.2 +### Section 6.2.2 * page 265. The original code for the Monty Hall problem does not return the right answer when the order of doors is changed. This is due to the fact that the `sample()` function behaves differently when an integer is supplied as an input. The correct code that avoids this problem is below: @@ -144,11 +156,11 @@ mean(result.noswitch == "car") mean(result.switch == "car") ``` -## Section 6.3.3. +### Section 6.3.3. * page 284, second paragraph. Change "$\{HTHTHT\}$" to "$\{HTHTH\}$". -## Section 6.4.2. +### Section 6.4.2. * page 304, first paragraph. Change "we expect a binomial random variable to approximate the normal distribution as the sample size, or the number of balls in this case, increases." to "we expect the binomial random variable to approximate the normal random variable as the sample size, or the number of lines of pegs in this case, increases. Here, the sample size refers to the number of lines of pegs, not the number of balls. Increasing the latter reduces the Monte Carlo error." Also, change "The central limit theorem applies not only to the binomial distribution, but" to "The central limit theorem applies not only to the Bernoulli random variable, but". @@ -158,9 +170,9 @@ $$\mathbb{E}(\overline{X}_n) = \mathbb{E}\left(\frac{1}{n} \sum_{i=1}^n {\color{ * page 305. Add a sentence to the end of the last paragraph whose last sentence ends with "approximated by the standard normal distribution." The sentence to be added is "To illustrate the quincunx through Monte Carlo simulations, we sample from the Bernoulli distribution or equivalently the Binomial distribution with size $n=1$." -# Chapter 7 +## Chapter 7 -## Section 7.1.3 +### Section 7.1.3 * page 327, last paragraph. Change "such that $P(Z > \alpha/2) = 1 - P(Z \leq \alpha / 2) = 1 - \alpha/2$" to "such that $P(Z > z_{\alpha/2}) = 1 - P(Z \leq z_{\alpha/2}) = 1- \alpha/2$" @@ -168,15 +180,15 @@ $$\mathbb{E}(\overline{X}_n) = \mathbb{E}\left(\frac{1}{n} \sum_{i=1}^n {\color{ * page 330, Step 4 in the box. Change "Compute the critical value $z_{\alpha/2}$ as the $(1 - \alpha) \times 100$ percentile value" to "Compute the critical value $z_{\alpha/2}$ as the $(1 - \alpha/2) \times 100$ percentile value" -## Section 7.2.3 +### Section 7.2.3 -* page 354, first paragraph. The first sentence should read: "We can confirm this result using the current example by checking that 0.5 is contained in the 99% confidence interval (we fail to reject the null hypothesis when $\alpha = 0.01$) but not in the 95% confidence interval (we reject the null when $\alpha = 0.5$)." +* page 354, first paragraph. The first sentence should read: "We can confirm this result using the current example by checking that 0.5 is contained in the 99% confidence interval (we fail to reject the null hypothesis when $\alpha = 0.01$) but not in the 95% confidence interval (we reject the null when $\alpha = 0.05$)." -# General Index +## General Index * page 402. Change "heterogenous treatment effects, 170" to "heterogeneous treatment effects, 170" -# Acknowledgements +## Acknowledgements Thanks to Jeff Arnold, Masahiko Asano, Matt Blackwell, Michael Donnelly, Fallend Franz, Joel Gautschi, Mamiko Hamakado, Masataka Harada, Yuko Kasuya, Soyoung Lee, Rocio Titiunik, and Sandy Weisberg for pointing out the errors. diff --git a/errata/QSSerrata.pdf b/errata/QSSerrata.pdf index 35da04ce04753c5dd7c1705c763ef876df4985f4..4fea5bfc07181acebfa35447314407cc3151b3ed 100644 GIT binary patch delta 68168 zcmZs?Q*fY9_^lh;wkEc1+qP}{i#f4vbCOJKJDJ$lWMVt#xA&>@-xp{1MOSzAO<#1q z@3YpbKDt1j3_+o$P!^YDU}5BdqnKYBS%YKYU?X8BaWb`q#I}EobC>0Leu|Tps_LUH}-rBZretK zK2bNgbt8znx4nIIa>%$7Qv7+giUtDxT%L~Q48_SzbYs~&*Q5wmbV$hzFzEkCxc`dX z8D;96MX+p6i;jABXnQ?8s9-XRF`vyirB{Lkq&*P&;>&TX2N0J1;O%YD`fRvv^fb$# zt}QHb(4H@vXEX=y@%?R-JzHjkvrqnLQfrdqPJH~rhGv*Prvz4*3hs5({_PM0t$Y1e5Ct@>J3RWksDenoH;0wQzTYwI!H6 ztM7Hw@7B@?OP>)f9Z%@3VV>#JI_5y=_NKdHcJ04!*e_j(C%+sd<>Rjalsc&G zq7AtDk%&+%rDB^Wx=Pt$vyD?*-@P 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