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MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGEWHAT IS R-SQUARED?
EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH days.alive = (AsDate(Sys.time()) - AsDate(birthday)) / ddays(1) days.alive. The function AsDate () is also able to interpret date intervals or periods, which can be useful when working with aggregated data. If the function encounters date periods, it will convert the start of the period to a date and return it. 1. WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machinelearning.
5 WAYS TO DEAL WITH MISSING DATA IN CLUSTER Missing data in cluster analysis example 1,145 market research consultants were asked to rate, on a scale of 1 to 5, how important they believe their clients regard statements like Length of experience/time in business and Uses sophisticated research technology/strategies.Each consultant only rated 12 statements selected randomly from a bank of 25. HOW TO INTERPRET LOGISTIC REGRESSION COEFFICIENTS HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,that's Displayr! If
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EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH days.alive = (AsDate(Sys.time()) - AsDate(birthday)) / ddays(1) days.alive. The function AsDate () is also able to interpret date intervals or periods, which can be useful when working with aggregated data. If the function encounters date periods, it will convert the start of the period to a date and return it. 1. WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machinelearning.
5 WAYS TO DEAL WITH MISSING DATA IN CLUSTER Missing data in cluster analysis example 1,145 market research consultants were asked to rate, on a scale of 1 to 5, how important they believe their clients regard statements like Length of experience/time in business and Uses sophisticated research technology/strategies.Each consultant only rated 12 statements selected randomly from a bank of 25. HOW TO INTERPRET LOGISTIC REGRESSION COEFFICIENTS HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R.LOG IN | DISPLAYR
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DISPLAYR FOR WEIGHTING| THE COMPLETE SOLUTION FOR Displayr is a general purpose app that does everything from crosstabs to text coding to advanced analysis to dashboards, driver analysis, and segmentation. Once you have weights, you can easily use them in all your subsequent analyses and reporting. There's no need to use one package for creating weights and another package for analyzing them.DISPLAYR FOR TURF
Displayr is the easiest and most efficient TURF tool in the world. It has all the tools needed to do a best-practice TURF in the blink of an eye, but is so easy to use that you can do your own TURF even if you haven't even done one before.SIGN UP | DISPLAYR
Visualize and analyze data Create and share dashboards Access Displayr Professional features for up to 10 hours HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR In Displayr, go to Insert > R Output. Under Properties > R CODE paste in the code below. You need to edit the list of URLs (unless you just want to visit my favorite sites), and the list of the link text to show. The latter is text that gets shown on screen instead of the URL itself. Tick Automatic to run the code. WHAT ARE DUMMY VARIABLES? A dummy variable is a variable that takes values of 0 and 1, where the values indicate the presence or absence of something (e.g., a 0 may indicate a placebo and 1 may indicate a drug).Where a categorical variable has more than two categories, it can be represented by a set of dummy variables, with one variable for each category.Numeric variables can also be dummy coded to explore nonlinear HOW CORRESPONDENCE ANALYSIS WORKS (A SIMPLE EXPLANATION Correspondence analysis is a data science tool for summarizing tables.This post explains the basics of how it works. It focuses on how to understand the underlying LEARN HOW TO OPTIMIZE PRODUCT RANGES USING TURF, FACTOR Tim Bock, Founder of Displayr. Tim is a data scientist, who has consulted, published academic papers, and won awards, for problems/ techniques as diverse as neural networks, mixture models, data fusion, market segmentation, IPO pricing, small sample research, and datavisualization.
IDENTIFYING DRIVERS OF CUSTOMER SATISFACTION Identifying Drivers of Customer Satisfaction. Customer surveys are an important way of collecting feedback about your product. They generally involve a question about overall satisfaction, coupled with questions about specific attributes. It's invaluable to evaluate what the most important attributes contributing to your overall CSAT scoreare.
HOW TO MAKE AN AREA CHART IN R 1. plot + geom_area() The above chart was created with the default ggplot2 settings, but there are several chart formatting options that can be modified. In ggplot2 you can build a plot in stages. This means that you can sequence the functions for modifying the plot by "adding" them with a "+" sign. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,that's Displayr! If
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HOW TO SORT DATA IN R HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots packagecreated by
HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,that's Displayr! If
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INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ONDISPLAYR.COM
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HOW TO SORT DATA IN R HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots packagecreated by
WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. PROFESSIONAL SERVICES Professional Services. Need help hooking up your data, building and beautifying dashboards, customizing visualizations, or transferring SPSS syntax? Our team of experts can help build you a custom solution (even if it involves multiple programming languages like R, Python, SQL and JavaScript)! Get in touch to find out how we can help achieve MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE The first step is to create a table where in addition to the data to be displayed, we also have a column containing z- scores. In the code below I first hide the column called z ( z = FALSE ), add arrows for z-scores of less than -1.96 and greater than 1.96, and make HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR In Displayr, go to Insert > R Output. Under Properties > R CODE paste in the code below. You need to edit the list of URLs (unless you just want to visit my favorite sites), and the list of the link text to show. The latter is text that gets shown on screen instead of the URL itself. Tick Automatic to run the code.HELP CENTER
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HOW TO INTERPRET LOGISTIC REGRESSION OUTPUTS Logistic regression, also known as binary logit and binary logistic regression, is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities.It is used to predict outcomes involving two options (e.g., buy versus not buy). In this post I explain how to interpret the standard outputs from logistic regression, focusing on those that PRINCIPAL COMPONENT ANALYSIS OF TEXT DATA This post introduces our new Principal Component Analysis (PCA) tool for analyzing text data. It takes a single text variable as an input, and returns numeric variables that summarize the text data, as well as tables of loadings to facilitate interpretation. WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machinelearning.
WHAT ARE DUMMY VARIABLES? A dummy variable is a variable that takes values of 0 and 1, where the values indicate the presence or absence of something (e.g., a 0 may indicate a placebo and 1 may indicate a drug).Where a categorical variable has more than two categories, it can be represented by a set of dummy variables, with one variable for each category.Numeric variables can also be dummy coded to explore nonlinear HOW TO ANALYZE FREE-FORM TEXT DATA FROM SURVEYS 1. Coding. The traditional approach to analyzing text data is to code the data. Coding works as follows: One or two people read through some of the data (e.g., 200 randomly selected responses), and use their judgment to identify some main categories. For example, for the question asked about attitudes to Tom Cruise, the categories may be:1.
DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,that's Displayr! If
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INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ONDISPLAYR.COM
WHAT IS MAXDIFF?
HOW TO SORT DATA IN R HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots packagecreated by
HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,that's Displayr! If
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INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ONDISPLAYR.COM
WHAT IS MAXDIFF?
HOW TO SORT DATA IN R HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots packagecreated by
HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. PROFESSIONAL SERVICES Professional Services. Need help hooking up your data, building and beautifying dashboards, customizing visualizations, or transferring SPSS syntax? Our team of experts can help build you a custom solution (even if it involves multiple programming languages like R, Python, SQL and JavaScript)! Get in touch to find out how we can help achieve MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE The first step is to create a table where in addition to the data to be displayed, we also have a column containing z- scores. In the code below I first hide the column called z ( z = FALSE ), add arrows for z-scores of less than -1.96 and greater than 1.96, and make HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR In Displayr, go to Insert > R Output. Under Properties > R CODE paste in the code below. You need to edit the list of URLs (unless you just want to visit my favorite sites), and the list of the link text to show. The latter is text that gets shown on screen instead of the URL itself. Tick Automatic to run the code.HELP CENTER
Easily analyze and present your data in a whole new flexible and liveway.
HOW TO INTERPRET LOGISTIC REGRESSION OUTPUTS Logistic regression, also known as binary logit and binary logistic regression, is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities.It is used to predict outcomes involving two options (e.g., buy versus not buy). In this post I explain how to interpret the standard outputs from logistic regression, focusing on those that PRINCIPAL COMPONENT ANALYSIS OF TEXT DATA This post introduces our new Principal Component Analysis (PCA) tool for analyzing text data. It takes a single text variable as an input, and returns numeric variables that summarize the text data, as well as tables of loadings to facilitate interpretation. WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machinelearning.
WHAT ARE DUMMY VARIABLES? A dummy variable is a variable that takes values of 0 and 1, where the values indicate the presence or absence of something (e.g., a 0 may indicate a placebo and 1 may indicate a drug).Where a categorical variable has more than two categories, it can be represented by a set of dummy variables, with one variable for each category.Numeric variables can also be dummy coded to explore nonlinear HOW TO ANALYZE FREE-FORM TEXT DATA FROM SURVEYS 1. Coding. The traditional approach to analyzing text data is to code the data. Coding works as follows: One or two people read through some of the data (e.g., 200 randomly selected responses), and use their judgment to identify some main categories. For example, for the question asked about attitudes to Tom Cruise, the categories may be:1.
DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,that's Displayr! If
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INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ONDISPLAYR.COM
WHAT IS MAXDIFF?
HOW TO SORT DATA IN R HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots packagecreated by
HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,that's Displayr! If
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INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ONDISPLAYR.COM
WHAT IS MAXDIFF?
HOW TO SORT DATA IN R HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots packagecreated by
HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. PROFESSIONAL SERVICES Professional Services. Need help hooking up your data, building and beautifying dashboards, customizing visualizations, or transferring SPSS syntax? Our team of experts can help build you a custom solution (even if it involves multiple programming languages like R, Python, SQL and JavaScript)! Get in touch to find out how we can help achieve MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE The first step is to create a table where in addition to the data to be displayed, we also have a column containing z- scores. In the code below I first hide the column called z ( z = FALSE ), add arrows for z-scores of less than -1.96 and greater than 1.96, and make HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR In Displayr, go to Insert > R Output. Under Properties > R CODE paste in the code below. You need to edit the list of URLs (unless you just want to visit my favorite sites), and the list of the link text to show. The latter is text that gets shown on screen instead of the URL itself. Tick Automatic to run the code.HELP CENTER
Easily analyze and present your data in a whole new flexible and liveway.
HOW TO INTERPRET LOGISTIC REGRESSION OUTPUTS Logistic regression, also known as binary logit and binary logistic regression, is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities.It is used to predict outcomes involving two options (e.g., buy versus not buy). In this post I explain how to interpret the standard outputs from logistic regression, focusing on those that PRINCIPAL COMPONENT ANALYSIS OF TEXT DATA This post introduces our new Principal Component Analysis (PCA) tool for analyzing text data. It takes a single text variable as an input, and returns numeric variables that summarize the text data, as well as tables of loadings to facilitate interpretation. WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machinelearning.
WHAT ARE DUMMY VARIABLES? A dummy variable is a variable that takes values of 0 and 1, where the values indicate the presence or absence of something (e.g., a 0 may indicate a placebo and 1 may indicate a drug).Where a categorical variable has more than two categories, it can be represented by a set of dummy variables, with one variable for each category.Numeric variables can also be dummy coded to explore nonlinear HOW TO ANALYZE FREE-FORM TEXT DATA FROM SURVEYS 1. Coding. The traditional approach to analyzing text data is to code the data. Coding works as follows: One or two people read through some of the data (e.g., 200 randomly selected responses), and use their judgment to identify some main categories. For example, for the question asked about attitudes to Tom Cruise, the categories may be:1.
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