technology.unstacked: Technology Brand data unstacked
In NumbersInternational/flipRegression: Estimates standard regression models
technology.unstacked R Documentation
Technology Brand data unstacked
Description
Case study from the technology market where 302 respondents rated how likely they were to
recommend 13 tech brands. For a series of 9 attributes, the respondents indicated which brands they
felt possessed the attribute.
Format
This list contains two data.frame elements:
-
Y: A data.frame that contains the recommendation values on a scale of 0 to 10.
This data.frame has 13 columns, one for each brand (Apple, Microsoft, IBM, Google, Intel, Hewlett-Packard, Sony, Dell, Yahoo, Nokia, Samsung, LG, Panasonic).
-
X: A data.frame that contains the respondents values for each attribute on each
brand. There are 117 columns, one of each of the 9 attributes by 13 brands. The nine attributes are (Fun, Worth what you pay for, Innovative, Good customer service, Stylish, Easy to use, High quality, High performance and Low prices). The names of the columns are of the form 'attribute, brand'.
Source
These data are available from the Q research software website. The address is: https://wiki.q-researchsoftware.com/images/3/35/Technology_2018.sav
More details of the analysis and stacking available in the 'How to do Driver Analysis: Ebook' available
on the Displayr website. https://www.displayr.com
NumbersInternational/flipRegression documentation built on March 2, 2024, 10:42 a.m.
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| technology.unstacked | R Documentation |
Technology Brand data unstacked
Description
Case study from the technology market where 302 respondents rated how likely they were to recommend 13 tech brands. For a series of 9 attributes, the respondents indicated which brands they felt possessed the attribute.
Format
This list contains two data.frame elements:
-
Y: Adata.framethat contains the recommendation values on a scale of 0 to 10. Thisdata.framehas 13 columns, one for each brand (Apple,Microsoft,IBM,Google,Intel,Hewlett-Packard,Sony,Dell,Yahoo,Nokia,Samsung,LG,Panasonic). -
X: Adata.framethat contains the respondents values for each attribute on each brand. There are 117 columns, one of each of the 9 attributes by 13 brands. The nine attributes are (Fun,Worth what you pay for,Innovative,Good customer service,Stylish,Easy to use,High quality,High performanceandLow prices). The names of the columns are of the form 'attribute, brand'.
Source
These data are available from the Q research software website. The address is: https://wiki.q-researchsoftware.com/images/3/35/Technology_2018.sav
More details of the analysis and stacking available in the 'How to do Driver Analysis: Ebook' available on the Displayr website. https://www.displayr.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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