R Dataset / Package Ecdat / VietNamI
| Attachment | Size |
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| dataset-88083.csv | 1.19 MB |
| R Dataset Help |
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On this Picostat.com statistics page, you will find information about the VietNamI data set which pertains to Medical Expenses in Viet–nam (individual Level) . The VietNamI data set is found in the Ecdat R package. You can load the VietNamI data set in R by issuing the following command at the console data("VietNamI"). This will load the data into a variable called VietNamI. If R says the VietNamI data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the VietNamI R data set. The size of this file is about 1,252,921 bytes. |
| Documentation |
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Medical Expenses in Viet–nam (individual Level)Descriptiona cross-section from 1997 number of observations : 27765 observation : individuals country : Vietnam Usagedata(VietNamI) FormatA dataframe containing :
SourceVietnam World Bank Livings Standards Survey. ReferencesCameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge, pp.848–853. See Also
-- Dataset imported from https://www.r-project.org. |
| Curated Data | File Size |
|---|---|
| R Dataset / Package boot / acme | 1.59 KB |
| R Dataset / Package boot / aids | 2.88 KB |
| R Dataset / Package boot / aircondit | 45 bytes |
| R Dataset / Package boot / aircondit7 | 82 bytes |
| R Dataset / Package boot / amis | 77.2 KB |
| All Public Datasets | File Size |
|---|---|
| Test | 394 bytes |
| Q1 | 332 bytes |
| prova_Correlatio | 593 bytes |
| profva | |
| test | 332 bytes |
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| Recent Queries | App/Dataset | By | Date |
|---|---|---|---|
| Picostat Output - Visual Summaries | R Dataset / Package Ecdat / DoctorAUS | mehrnooshroozbahan | July 14, 2020 - 5:02 PM |
| Picostat Output - Visual Summaries | R Dataset / Package boot / aircondit7 | mehrnooshroozbahan | July 14, 2020 - 5:01 PM |
| Picostat Output - Visual Summaries | R Dataset / Package boot / aids | mehrnooshroozbahan | July 14, 2020 - 4:58 PM |
| Picostat Output - Visual Summaries | R Dataset / Package boot / aids | mehrnooshroozbahan | July 14, 2020 - 4:56 PM |
| Picostat Output - Visual Summaries | R Dataset / Package Ecdat / DoctorAUS | mehrnooshroozbahan | July 14, 2020 - 4:52 PM |
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