We don't do homework here. Ask your professor for help. Cheers, Bert
Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, Jun 9, 2017 at 9:10 AM, Alex Ferrara <rikusha...@hotmail.it> wrote: > Hi i need some help with this exercise: > > FIles: https://mega.nz/#!JxMFGIwC!qA85SBIBRVagCzYfmLwSvGuNK_qXqCXrakPxXryCpGg > > #PARZIAL 3: GEO > > #Data: > # Shapefile "INCOME" contains dummy information about revenue > # Common Abbreviations in the "INCOME" variable and the centroid altitude > #dell common in the variable "ALT" > > #Richieste > > # 1 > #map of the variable "INCOME", choosing an appropriate color scale (save the > map in pdf) > > #2 > #map of the variable "ALT", choosing a color palette from green to white, > passing for brown (save the map in pdf) > > # 3 > #calculate the confidence interval of the pearson correlation coefficient > between the variables considered > > # 4 > # Graph (and save in pdf) the relationship between variables via scatterplot, > #Set the graphic parameters appropriately and enter the correlation value in > the title > #del previous point > > # 5 > #Comment what appears from the analysis performed > > # 6 > # Find a way to map variables on the same scale so that it is obvious > #the correlation found. (Suggestion: to use transformation, and possibly > reversal of signs) > > # 7 > #fit a linear model that explains the income in function of altitude > (original scales) > > # 8 > #load the metered values and those observed on the same scale > > # 9 > #wrap the gap between residual and observed and write the instructions that > they print > # Consoles municipalities with the worst estimate (below and above estimated) > > How should i do? Thanks for reply > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
