Publications by Anna Podolskaya
Practice 3 : anova
The data: ## vote pbldmn stflife imbgeco ## Min. :1.000 Min. :1.000 Min. : 0.000 Min. : 0.000 ## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.: 7.000 1st Qu.: 4.000 ## Median :1.000 Median :2.000 Median : 8.000 Median : 5.000 ## Mean :1.322 Mean :1.969 Mean : 7.602 M...
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Practice 2 : linear regression
knitr::opts_chunk$set(fig.width=12, fig.height=8, fig.path='Figs/', echo=FALSE, warning=FALSE, message=FALSE, error = FALSE) Problem 1 Using regression modelling, find out how interest in politics, marital status, and age relate to trust in parliament. Show how you create your models and choose the best of them. Explore mo...
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Practice 1
knitr::opts_chunk$set(fig.width=12, fig.height=8, fig.path='Figs/', echo=FALSE, warning=FALSE, message=FALSE, error = FALSE) Long story short: I’ve done 3 questions from the 1st ex. and the whole 2nd ex. ## vote job gndr nwspol ## Min. :1.000 Min. :1.000 Min. :1.000...
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Practice10
knitr::opts_chunk$set(fig.width=12, fig.height=8, fig.path='Figs/', warning=FALSE, message=FALSE, error = FALSE) ctrl+F for replacing(easy) allEffects plots fo binary regression Code for the first part does not contain any comments, cause everythings you can view by the LINK. I’ve tried to be short, however if 12 mins a...
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Practice 4&5 : linear regression
In this practice, we will focus primarily on how to compare linear regression models and how linear regression relates to other methods we have already covered in this course. library(foreign) prac <- read.spss("C:/Users/ASUS/Documents/Data Analysis/gen/sem4_WV6_Russia.sav", to.data.frame = T, use.value.labels = T) library(dplyr) df <- select(...
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Practice 8 : non-parametric tests
Problem 1 Twelve participants took part in an experiment to rate the attractiveness of a woman and a man who were shown on a video in either a good mood or a bad mood. Since the participants performed under one condition only, the design is a between-participants, or independent, design. The data given in Table 16.1 are ratings given by participa...
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Practice 6&7: linear regression
Variables: http://www.parlgov.org/documentation/codebook/#party: left/right — Castles/Mair 1983 (left/right), Huber/Inglehart 1995 (left/right), Benoit/Laver 2006 – (left/right), CHES 2010 (lrgen 1999 and 2002 and 2006) state/market — Benoit/Laver 2006 (taxes/spending), CHES 2010 (lrecon 1999 and 2002 and 2006) liberty/authority — Benoit...
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