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In ProfoundData: Downloading and Exploring Data from the PROFOUND Database
r paste("### ", currentDataset, collapse='\n')
df <- summarizeData(site = currentSiteName, dataset = currentDataset)
pander(df, adding = 0, missing = '**--**', round = 3, use.hyphening = TRUE, split.cells = 3, split.tables = 200, caption = tableCaption(paste("Summary of ", currentDataset, " for ", currentSiteName, ". Note: Average of the annual sum of the variables p_mm and rad_Jcm2day. Rest of variables, average of the annual mean values.", sep="")))
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ProfoundData documentation built on March 31, 2020, 5:24 p.m.
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r paste("### ", currentDataset, collapse='\n')
df <- summarizeData(site = currentSiteName, dataset = currentDataset)
pander(df, adding = 0, missing = '**--**', round = 3, use.hyphening = TRUE, split.cells = 3, split.tables = 200, caption = tableCaption(paste("Summary of ", currentDataset, " for ", currentSiteName, ". Note: Average of the annual sum of the variables p_mm and rad_Jcm2day. Rest of variables, average of the annual mean values.", sep="")))
Try the ProfoundData package in your browser
Any scripts or data that you put into this service are public.
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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