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<title>Chapter 4 Replace missing values with a specific value | Introduction to R for Crime Analysts</title>
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<li class="chapter" data-level="2" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html"><i class="fa fa-check"></i><b>2</b> Getting Started with R</a>
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<li class="chapter" data-level="2.1" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#the-r-environment"><i class="fa fa-check"></i><b>2.1</b> The R Environment</a>
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<li class="chapter" data-level="2.1.1" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#overview-of-the-rstudio-interface"><i class="fa fa-check"></i><b>2.1.1</b> Overview of the RStudio Interface</a></li>
<li class="chapter" data-level="2.1.2" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#console-vs.-scripts-vs.-notebooks"><i class="fa fa-check"></i><b>2.1.2</b> Console vs. Scripts vs. Notebooks</a></li>
</ul></li>
<li class="chapter" data-level="2.2" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#coding-conventions-and-best-practices"><i class="fa fa-check"></i><b>2.2</b> Coding Conventions and Best Practices</a>
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<li class="chapter" data-level="2.2.1" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#writing-clean-and-readable-code"><i class="fa fa-check"></i><b>2.2.1</b> Writing Clean and Readable Code</a></li>
<li class="chapter" data-level="2.2.2" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#commenting-and-structuring-scripts"><i class="fa fa-check"></i><b>2.2.2</b> Commenting and Structuring Scripts</a></li>
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<li class="chapter" data-level="2.3" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#data-types-and-structures"><i class="fa fa-check"></i><b>2.3</b> Data Types and Structures</a>
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<li class="chapter" data-level="2.3.1" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#introduction-to-vectors-data-frames-lists-and-factors"><i class="fa fa-check"></i><b>2.3.1</b> Introduction to Vectors, Data Frames, Lists, and Factors</a></li>
<li class="chapter" data-level="2.3.2" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#comparing-r-data-types-to-spss-data-types"><i class="fa fa-check"></i><b>2.3.2</b> Comparing R Data Types to SPSS Data Types</a></li>
</ul></li>
<li class="chapter" data-level="2.4" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#basic-operations-and-functions-in-r"><i class="fa fa-check"></i><b>2.4</b> Basic Operations and Functions in R</a>
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<li class="chapter" data-level="2.4.1" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#arithmetic-operations"><i class="fa fa-check"></i><b>2.4.1</b> Arithmetic Operations</a></li>
<li class="chapter" data-level="2.4.2" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#logical-operations"><i class="fa fa-check"></i><b>2.4.2</b> Logical Operations</a></li>
<li class="chapter" data-level="2.4.3" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#basic-functions"><i class="fa fa-check"></i><b>2.4.3</b> Basic Functions</a></li>
</ul></li>
<li class="chapter" data-level="2.5" data-path="getting-started-with-r.html"><a href="getting-started-with-r.html#conclusion-1"><i class="fa fa-check"></i><b>2.5</b> Conclusion</a></li>
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<li class="chapter" data-level="3" data-path="data-management-in-r.html"><a href="data-management-in-r.html"><i class="fa fa-check"></i><b>3</b> Data Management in R</a>
<ul>
<li class="chapter" data-level="3.1" data-path="data-management-in-r.html"><a href="data-management-in-r.html#data-import-and-export"><i class="fa fa-check"></i><b>3.1</b> Data Import and Export</a>
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<li class="chapter" data-level="3.1.1" data-path="data-management-in-r.html"><a href="data-management-in-r.html#importing-data"><i class="fa fa-check"></i><b>3.1.1</b> Importing Data</a></li>
<li class="chapter" data-level="3.1.2" data-path="data-management-in-r.html"><a href="data-management-in-r.html#exporting-data"><i class="fa fa-check"></i><b>3.1.2</b> Exporting Data</a></li>
</ul></li>
<li class="chapter" data-level="3.2" data-path="data-management-in-r.html"><a href="data-management-in-r.html#data-cleaning-and-preparation"><i class="fa fa-check"></i><b>3.2</b> Data Cleaning and Preparation</a>
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<li class="chapter" data-level="3.2.1" data-path="data-management-in-r.html"><a href="data-management-in-r.html#handling-missing-data"><i class="fa fa-check"></i><b>3.2.1</b> Handling Missing Data</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="4" data-path="replace-missing-values-with-a-specific-value.html"><a href="replace-missing-values-with-a-specific-value.html"><i class="fa fa-check"></i><b>4</b> Replace missing values with a specific value</a></li>
<li class="chapter" data-level="5" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html"><i class="fa fa-check"></i><b>5</b> Connecting to and Accessing a PostgreSQL Database</a>
<ul>
<li class="chapter" data-level="5.1" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html#introduction"><i class="fa fa-check"></i><b>5.1</b> Introduction</a></li>
<li class="chapter" data-level="5.2" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html#setting-up-the-environment"><i class="fa fa-check"></i><b>5.2</b> Setting Up the Environment</a>
<ul>
<li class="chapter" data-level="5.2.1" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html#installing-necessary-packages"><i class="fa fa-check"></i><b>5.2.1</b> Installing Necessary Packages</a></li>
</ul></li>
<li class="chapter" data-level="5.3" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html#connecting-to-postgresql-using-rpostgres"><i class="fa fa-check"></i><b>5.3</b> Connecting to PostgreSQL (Using RPostgres)</a></li>
<li class="chapter" data-level="5.4" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html#querying-data-from-postgresql"><i class="fa fa-check"></i><b>5.4</b> Querying Data from PostgreSQL</a>
<ul>
<li class="chapter" data-level="5.4.1" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html#executing-a-query"><i class="fa fa-check"></i><b>5.4.1</b> Executing a Query</a></li>
</ul></li>
<li class="chapter" data-level="5.5" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html#handling-errors-and-troubleshooting"><i class="fa fa-check"></i><b>5.5</b> Handling Errors and Troubleshooting</a></li>
<li class="chapter" data-level="5.6" data-path="connecting-to-and-accessing-a-postgresql-database.html"><a href="connecting-to-and-accessing-a-postgresql-database.html#conclusion-2"><i class="fa fa-check"></i><b>5.6</b> Conclusion</a></li>
</ul></li>
<li class="chapter" data-level="6" data-path="descriptive-statistics-and-visualisations.html"><a href="descriptive-statistics-and-visualisations.html"><i class="fa fa-check"></i><b>6</b> Descriptive Statistics and Visualisations</a>
<ul>
<li class="chapter" data-level="6.1" data-path="descriptive-statistics-and-visualisations.html"><a href="descriptive-statistics-and-visualisations.html#introduction-to-descriptive-statistics"><i class="fa fa-check"></i><b>6.1</b> Introduction to Descriptive Statistics</a>
<ul>
<li class="chapter" data-level="6.1.1" data-path="descriptive-statistics-and-visualisations.html"><a href="descriptive-statistics-and-visualisations.html#understanding-descriptive-statistics"><i class="fa fa-check"></i><b>6.1.1</b> Understanding Descriptive Statistics</a></li>
<li class="chapter" data-level="6.1.2" data-path="descriptive-statistics-and-visualisations.html"><a href="descriptive-statistics-and-visualisations.html#basic-descriptive-statistics-in-r"><i class="fa fa-check"></i><b>6.1.2</b> Basic Descriptive Statistics in R</a></li>
</ul></li>
<li class="chapter" data-level="6.2" data-path="descriptive-statistics-and-visualisations.html"><a href="descriptive-statistics-and-visualisations.html#creating-visualisations-with-ggplot2"><i class="fa fa-check"></i><b>6.2</b> Creating Visualisations with ggplot2</a>
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<li class="chapter" data-level="6.2.2" data-path="descriptive-statistics-and-visualisations.html"><a href="descriptive-statistics-and-visualisations.html#creating-basic-plots"><i class="fa fa-check"></i><b>6.2.2</b> Creating Basic Plots</a></li>
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<li class="chapter" data-level="7" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html"><i class="fa fa-check"></i><b>7</b> Survey Analysis in R</a>
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<li class="chapter" data-level="7.1" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#introduction-to-survey-data"><i class="fa fa-check"></i><b>7.1</b> Introduction to Survey Data</a>
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<li class="chapter" data-level="7.1.1" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#key-concepts-in-survey-analysis"><i class="fa fa-check"></i><b>7.1.1</b> Key Concepts in Survey Analysis</a></li>
<li class="chapter" data-level="7.1.2" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#required-packages"><i class="fa fa-check"></i><b>7.1.2</b> Required Packages</a></li>
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<li class="chapter" data-level="7.2" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#importing-and-preparing-survey-data"><i class="fa fa-check"></i><b>7.2</b> Importing and Preparing Survey Data</a>
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<li class="chapter" data-level="7.2.1" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#importing-spss-data"><i class="fa fa-check"></i><b>7.2.1</b> Importing SPSS Data</a></li>
<li class="chapter" data-level="7.2.2" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#converting-data-for-survey-analysis"><i class="fa fa-check"></i><b>7.2.2</b> Converting Data for Survey Analysis</a></li>
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<li class="chapter" data-level="7.3" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#descriptive-analysis-of-survey-data"><i class="fa fa-check"></i><b>7.3</b> Descriptive Analysis of Survey Data</a>
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<li class="chapter" data-level="7.3.1" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#calculating-weighted-means-and-totals"><i class="fa fa-check"></i><b>7.3.1</b> Calculating Weighted Means and Totals</a></li>
<li class="chapter" data-level="7.3.2" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#frequencies-and-cross-tabulations"><i class="fa fa-check"></i><b>7.3.2</b> Frequencies and Cross-tabulations</a></li>
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<li class="chapter" data-level="7.4" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#working-with-the-srvyr-package"><i class="fa fa-check"></i><b>7.4</b> Working with the srvyr Package</a>
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<li class="chapter" data-level="7.4.1" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#creating-a-survey-design-object-with-srvyr"><i class="fa fa-check"></i><b>7.4.1</b> Creating a Survey Design Object with srvyr</a></li>
<li class="chapter" data-level="7.4.2" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#using-srvyr-for-descriptive-statistics"><i class="fa fa-check"></i><b>7.4.2</b> Using srvyr for Descriptive Statistics</a></li>
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<li class="chapter" data-level="7.5" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#weighting-survey-data"><i class="fa fa-check"></i><b>7.5</b> Weighting Survey Data</a>
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<li class="chapter" data-level="7.5.1" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#applying-weights"><i class="fa fa-check"></i><b>7.5.1</b> Applying Weights</a></li>
<li class="chapter" data-level="7.5.2" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#analysing-weighted-data"><i class="fa fa-check"></i><b>7.5.2</b> Analysing Weighted Data</a></li>
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<li class="chapter" data-level="7.6" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#practical-example-survey-data-analysis-workflow"><i class="fa fa-check"></i><b>7.6</b> Practical Example: Survey Data Analysis Workflow</a>
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<li class="chapter" data-level="7.6.1" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#step-1-import-data"><i class="fa fa-check"></i><b>7.6.1</b> Step 1: Import Data</a></li>
<li class="chapter" data-level="7.6.2" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#step-2-define-survey-design"><i class="fa fa-check"></i><b>7.6.2</b> Step 2: Define Survey Design</a></li>
<li class="chapter" data-level="7.6.3" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#step-3-descriptive-analysis"><i class="fa fa-check"></i><b>7.6.3</b> Step 3: Descriptive Analysis</a></li>
<li class="chapter" data-level="7.6.4" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#step-4-advanced-analysis-regression"><i class="fa fa-check"></i><b>7.6.4</b> Step 4: Advanced Analysis (Regression)</a></li>
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<li class="chapter" data-level="7.7" data-path="survey-analysis-in-r.html"><a href="survey-analysis-in-r.html#conclusion-3"><i class="fa fa-check"></i><b>7.7</b> Conclusion</a></li>
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<li class="chapter" data-level="8" data-path="inferential-statistics.html"><a href="inferential-statistics.html"><i class="fa fa-check"></i><b>8</b> Inferential Statistics</a></li>
<li class="chapter" data-level="" data-path="references.html"><a href="references.html"><i class="fa fa-check"></i>References</a></li>
<li class="chapter" data-level="9" data-path="regression-analysis-1.html"><a href="regression-analysis-1.html"><i class="fa fa-check"></i><b>9</b> Regression Analysis</a></li>
<li class="chapter" data-level="10" data-path="geographic-mapping-and-spatial-analysis.html"><a href="geographic-mapping-and-spatial-analysis.html"><i class="fa fa-check"></i><b>10</b> Geographic Mapping and Spatial Analysis</a></li>
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<h1><span class="header-section-number">Chapter 4</span> Replace missing values with a specific value<a href="replace-missing-values-with-a-specific-value.html#replace-missing-values-with-a-specific-value" class="anchor-section" aria-label="Anchor link to header"></a></h1>
<p>data[is.na(data)] <- 0
SPSS Equivalent: Use the RECODE command or the Transform > Replace Missing Values function.</p>
<p>3.2.2 Recoding Variables
Recoding variables is a common task, such as transforming a continuous variable into a categorical one.</p>
<p>Recoding Variables in R:</p>
<p>{r
Copy code
# Recoding a variable using dplyr
library(dplyr)
data <- data %>%
mutate(new_variable = recode(old_variable,
“1” = “Category 1”,
“2” = “Category 2”))
SPSS Equivalent: Use the RECODE command:</p>
<p>spss
Copy code
RECODE old_variable (1=‘Category 1’) (2=‘Category 2’) INTO new_variable.
3.2.3 Filtering and Subsetting Data
Filtering and subsetting data allow you to focus on specific observations of interest.</p>
<p>Filtering Data in R:</p>
<p>{r
Copy code
# Filter data where a variable equals a specific value
data_filtered <- filter(data, variable == “value”)
SPSS Equivalent: Use the SELECT IF command:</p>
<p>spss
Copy code
SELECT IF (variable = value).
Subsetting Data in R:</p>
<p>{r
Copy code
# Subset columns in R
data_subset <- select(data, column1, column2)
SPSS Equivalent: Use the MATCH FILES / KEEP command or Data > Select Cases.</p>
<p>3.2.4 Data Transformations
Data transformations involve creating new variables or modifying existing ones. This can include mathematical operations, merging datasets, and more.</p>
<p>Creating New Variables:</p>
<p>{r
Copy code
# Create a new variable
data <- data %>%
mutate(new_variable = old_variable1 + old_variable2)
SPSS Equivalent: Use the COMPUTE command:</p>
<p>spss
Copy code
COMPUTE new_variable = old_variable1 + old_variable2.
Merging Datasets:</p>
<p>{r
Copy code
# Merge two datasets by a common key
merged_data <- merge(data1, data2, by = “common_column”)
SPSS Equivalent: Use the MATCH FILES command.</p>
<p>3.3 Working with Categorical Data
Categorical data, or factors in R, are a common type of data in survey analysis. Understanding how to manipulate and analyze this type of data is essential.</p>
<p>3.3.1 Creating and Manipulating Factors
Factors in R are used to represent categorical data. Here’s how to create and manipulate them:</p>
<p>Creating a Factor:</p>
<p>{r
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# Create a factor variable
data<span class="math inline">\(factor_variable <- factor(data\)</span>categorical_variable,
levels = c(“Category 1”, “Category 2”, “Category 3”))
SPSS Equivalent: This is similar to defining value labels and assigning them in SPSS.</p>
<p>Reordering Factor Levels:</p>
<p>{r
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# Reorder levels of a factor
data<span class="math inline">\(factor_variable <- factor(data\)</span>factor_variable,
levels = c(“Category 3”, “Category 1”, “Category 2”))
SPSS Equivalent: Use the VARIABLE LEVELS command.</p>
<p>3.3.2 Frequency Tables and Cross-Tabulations
Understanding the distribution of categorical data is often done through frequency tables and cross-tabulations.</p>
<p>Frequency Tables:</p>
<p>{r
Copy code
# Create a frequency table
table(data$factor_variable)
SPSS Equivalent: Use the FREQUENCIES command:</p>
<p>spss
Copy code
FREQUENCIES VARIABLES=factor_variable.
Cross-Tabulations:</p>
<p>{r
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# Create a cross-tabulation
table(data<span class="math inline">\(factor_variable1, data\)</span>factor_variable2)
SPSS Equivalent: Use the CROSSTABS command:</p>
<p>spss
Copy code
CROSSTABS /TABLES=factor_variable1 BY factor_variable2.
3.4 Conclusion
In this chapter, we’ve covered essential data management tasks in R, including importing and exporting data, cleaning and preparing data, and working with categorical data. By comparing these processes with their SPSS equivalents, you can see how R can effectively replace or complement SPSS in your analytical workflow. In the next chapter, we’ll delve into descriptive statistics and data visualizations in R, continuing to build your skills in this versatile programming language.</p>
<p>vbnet
Copy code</p>
<p>This chapter covers the essentials of data management in R, including importing and export</p>
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