Added more image files
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@@ -6,20 +6,6 @@
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#+BEGIN_SRC emacs-lisp-slide
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#+BEGIN_SRC emacs-lisp-slide
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(org-show-animate '("Quantitative Methods, Part-II" "Vikas Rawal" "Prachi Bansal" "" "" ""))
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(org-show-animate '("Quantitative Methods, Part-II" "Vikas Rawal" "Prachi Bansal" "" "" ""))
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#+END_SRC
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#+END_SRC
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* Lecture plan
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** Descriptive Statistics [1 day]
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*** Measures of central tendency
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*** Dispersion
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*** Making Data Meaningful
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**** Cross-tabulations
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**** Data visualisation
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** Probability and Inference [2 days]
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*** Probability/Relevance to statistics
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*** Sampling distributions
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*** Hypothesis testing
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** Correlations and Regression [1 day]
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** All afternoons will be used for workshops
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* Day 1
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* Day 1
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** Title slide
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** Title slide
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#+BEGIN_SRC emacs-lisp-slide
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#+BEGIN_SRC emacs-lisp-slide
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@@ -305,44 +291,6 @@ $cov=\frac{standard.deviation}{mean}$
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hist(b$yield,main="Histogram of wheat yields",ylim=c(0,4000))
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hist(b$yield,main="Histogram of wheat yields",ylim=c(0,4000))
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#+END_SRC
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#+END_SRC
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*** Histogram with smaller bins
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#+RESULTS: ccpc-wheat-hist11
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[[file:productionhist11.png]]
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#+NAME: ccpc-wheat-hist11
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#+BEGIN_SRC R :results output graphics :exports results :file productionhist11.png :width 400 :height 300 :type cairo :family Garamond
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subset(ccpc,Year_Agriculture==2009)->b
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subset(b,Crop_code %in% 20 )->b
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b$Main_Product_Qtls*100/b$Crop_Area_Ha->b$yield
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hist(b$yield,main="Histogram of wheat yields",breaks=seq(0,25000,250),ylim=c(0,4000))
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#+END_SRC
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*** Histogram with smaller bins
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#+RESULTS: ccpc-wheat-hist12
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[[file:productionhist12.png]]
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#+NAME: ccpc-wheat-hist12
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#+BEGIN_SRC R :results output graphics :exports results :file productionhist12.png :width 400 :height 300 :type cairo :family Garamond
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subset(ccpc,Year_Agriculture==2009)->b
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subset(b,Crop_code %in% 20 )->b
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b$Main_Product_Qtls*100/b$Crop_Area_Ha->b$yield
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hist(b$yield,main="Histogram of wheat yields",breaks=seq(0,25000,250))
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#+END_SRC
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*** Histogram (absolute frequencies) with unequal bins distorts the shape
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#+NAME: ccpc-wheat-hist3
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#+BEGIN_SRC R :results output graphics :exports results :file productionhist3.png :width 400 :height 300 :type cairo :family Garamond
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subset(ccpc,Year_Agriculture==2009)->b
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subset(b,Crop_code %in% 20 )->b
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b$Main_Product_Qtls*100/b$Crop_Area_Ha->b$yield
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hist(b$yield,freq=T,main="Histogram of wheat yields",breaks=c(0,1000,1500,2000,2200,2500,3000,3200,3400,3800,4000,5000,10000,21000))
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#+END_SRC
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#+RESULTS: ccpc-wheat-hist3
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[[file:productionhist3.png]]
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*** Histogram with relative densities :slide:
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*** Histogram with relative densities :slide:
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#+RESULTS: ccpc-wheat-hist2
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#+RESULTS: ccpc-wheat-hist2
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@@ -357,39 +305,12 @@ $cov=\frac{standard.deviation}{mean}$
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hist(b$yield,freq=F,main="Histogram of wheat yields",ylim=c(0,0.00040))
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hist(b$yield,freq=F,main="Histogram of wheat yields",ylim=c(0,0.00040))
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#+END_SRC
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#+END_SRC
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*** Histogram with relative densities
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#+RESULTS: ccpc-wheat-hist21
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[[file:productionhist21.png]]
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#+NAME: ccpc-wheat-hist21
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#+BEGIN_SRC R :results output graphics :exports results :file productionhist21.png :width 400 :height 300 :type cairo :family Garamond
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subset(ccpc,Year_Agriculture==2009)->b
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subset(b,Crop_code %in% 20)->b
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b$Main_Product_Qtls*100/b$Crop_Area_Ha->b$yield
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hist(b$yield,freq=F,main="Histogram of wheat yields",breaks=seq(0,25000,250),ylim=c(0,0.00040))
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#+END_SRC
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*** Histogram with unequal bins must use relative densities
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#+RESULTS: ccpc-wheat-hist4
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[[file:productionhist4.png]]
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#+NAME: ccpc-wheat-hist4
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#+BEGIN_SRC R :results output graphics :exports results :file productionhist4.png :width 400 :height 300 :type cairo :family Garamond
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subset(ccpc,Year_Agriculture==2009)->b
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subset(b,Crop_code %in% 20 )->b
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b$Main_Product_Qtls*100/b$Crop_Area_Ha->b$yield
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hist(b$yield,freq=F,main="Histogram of wheat yields",breaks=c(0,1000,1500,2000,2200,2500,3000,3200,3400,3800,4000,5000,10000,21000),ylim=c(0,0.00040))
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#+END_SRC
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*** Boxplot :slide:
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*** Boxplot :slide:
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**** Invented by John Tukey in 1970
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**** Invented by John Tukey in 1970
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**** Many variations proposed since then, though the essential form and idea as remained intact.
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**** Many variations proposed since then, though the essential form and idea as remained intact.
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*** Boxplot of wheat yields :slide:
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*** Boxplot of wheat yields :slide:
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#+RESULTS: ccpc-wheat-box1
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#+RESULTS: ccpc-wheat-box1
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@@ -447,7 +368,6 @@ $cov=\frac{standard.deviation}{mean}$
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boxplot(yield~Crop_code,data=b,main="Boxplots of yields of various crops",las=3,ylim=c(0,8000),outline=F)
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boxplot(yield~Crop_code,data=b,main="Boxplots of yields of various crops",las=3,ylim=c(0,8000),outline=F)
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#+END_SRC
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#+END_SRC
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*** Violin plots :slide:
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*** Violin plots :slide:
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#+RESULTS: ccpc-crop-vio
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#+RESULTS: ccpc-crop-vio
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@@ -466,16 +386,5 @@ $cov=\frac{standard.deviation}{mean}$
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* Workshop plan
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** Introduction to R
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** Data Tables
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** ggplot2
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* Datasets
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** Census
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** PLFS/Chandan's data
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** Suicides
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** CPI
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** Pulses
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