Thank you Jeff.

Cannot seem to get this to work in the fashion I want it to appear no matter 
how many websites and packages I investigate.

Letting it go for the moment.

Always appreciate your advice Sir!

WHP
From: Jeff Newmiller <jdnew...@dcn.davis.ca.us>
Sent: Thursday, September 13, 2018 10:29 AM
To: r-help@r-project.org; Bill Poling <bill.pol...@zelis.com>; r-help 
(r-help@r-project.org) <r-help@r-project.org>
Subject: Re: [R] Help with simple Map of US states with predefined regions 
Version 2

Your data appear to be in fixed format, not space-delimited (or delimited by 
any other special character), so you should use read.fwf to read it in rather 
that read.table.

?read.fwf

In the future you should try to identify where your errors are or your data 
don't look right and ask focused questions about that (reproducible) problem 
rather than spilling your whole script into an email. That is, your error 
occurred in the single read.table command and the rest of it was working fine.

On September 13, 2018 5:14:33 AM PDT, Bill Poling 
<bill.pol...@zelis.com<mailto:bill.pol...@zelis.com>> wrote:
>Hi,
>
>I hope someone can help me finalize this please.
>
>I am coming close to what I need using variations from two ggplot2
>tutorials.
>
>This first gives me the map of the US with AK & HI but I cannot figure
>out how to get my 5 regions colored
>
>#https://stackoverflow.com/questions/38021188/how-to-draw-u-s-state-map-with-hi-and-ak-with-state-abbreviations-centered-us?rq=1<https://stackoverflow.com/questions/38021188/how-to-draw-u-s-state-map-with-hi-and-ak-with-state-abbreviations-centered-us?rq=1>
>
>
>library(ggplot2)
>install.packages("ggalt")
>library(ggalt) # coord_proj
>library(albersusa) # devtools::install_github("hrbrmstr/albersusa")
>install.packages("ggthemes")
>library(ggthemes) # theme_map
>install.packages("rgeos")
>library(rgeos) # centroids
>library(dplyr)
>
># composite map with AK & HI
>usa_map <- usa_composite()
>
># calculate the centroids for each state
>gCentroid(usa_map, byid=TRUE) %>%
> as.data.frame() %>%
> mutate(state=usa_map@data$iso_3166_2) -> centroids
>
># make it usable in ggplot2
>usa_map <- fortify(usa_map)
>
>View(usa_map)
>t1 <- head(usa_map,n=5)
>knitr::kable(t1, row.names=FALSE, align=c("l", "l", "r", "r", "r"))
>
>#
>
> # |long |lat | group| order| region|subregion |
> # |:---------|:--------|-----:|-----:|-------:|:---------|
> # |-87.46201 |30.38968 | 1| 1| alabama|NA |
> # |-87.48493 |30.37249 | 1| 2| alabama|NA |
> # |-87.52503 |30.37249 | 1| 3| alabama|NA |
> # |-87.53076 |30.33239 | 1| 4| alabama|NA |
> # |-87.57087 |30.32665 | 1| 5| alabama|NA |
>
>usa_map <- fortify(usa_map)
>gg <- ggplot()
>gg <- gg + geom_map(data=usa_map, map=usa_map,
> aes(long, lat, map_id=id),
> color="#2b2b2b", size=0.1, fill=NA)
>
>gg <- gg + geom_text(data=centroids, aes(x, y, label=state), size=2)
>gg <- gg + coord_proj(us_laea_proj)
>gg <- gg + theme_map()
>gg
>
>
>
>
>#************************************************************************************************************************************************************************************/
>
>This second is an alternative (however not liking AK&HI, not coming
>into the map like scenario one above) but also ignoring new Mexico
>(because recognizing a seventh field value) and I suspect it will do
>the same for new York and new jersey etc.. when I add them to the list.
>
>Error in scan(file = file, what = what, sep = sep, quote = quote, dec =
>dec, : line 12 did not have 6 elements
>
>When I use newmexico (all one word) it appears white in the map like
>the other states not in the table statement
>
>#https://stackoverflow.com/questions/38777732/r-code-to-generating-map-of-us-states-with-specific-colors<https://stackoverflow.com/questions/38777732/r-code-to-generating-map-of-us-states-with-specific-colors>
>
>library(ggplot2)
>
>read.table(text="State.Code region St_Abbr Num_Estab
>colors
> 1 1 alaska Ak 13123 #f7931e
> 3 1 arizona AZ 18053 #f7931e
> 5 1 california CA 143937 #f7931e
> 2 1 hawaii HI 123456 #f7931e
> 4 1 nevada NV 654321 #f7931e
> 6 1 oregon OR 321456 #f7931e
> 7 1 washington WA 456123 #f7931e
> 8 2 colorado CO 987654 #787878
> 9 2 idaho ID 13549 #787878
> 10 2 kansas KS 94531 #787878
> 11 2 montana MT 456321 #787878
>12 2 new mexico NM 582310 #787878 <---Not
>liking new mexico, saying not 6
> 13 2 oklahoma OK 214567 #787878
> 14 2 texas TX 675421 #787878
> 15 2 utah UT 754321 #787878
> 16 2 wyoming WY 543124 #787878 ",
>stringsAsFactors=FALSE, header=TRUE, comment.char="") -> df
>
>usa_map1 <- map_data("state")
>t1 <- head(usa_map1,n=5)
>knitr::kable(t1, row.names=FALSE, align=c("l", "l", "r", "r", "r"))
>View(usa_map1)
>#
># |long |lat | group| order| region|subregion |
># |:---------|:--------|-----:|-----:|-------:|:---------|
># |-87.46201 |30.38968 | 1| 1| alabama|NA |
># |-87.48493 |30.37249 | 1| 2| alabama|NA |
># |-87.52503 |30.37249 | 1| 3| alabama|NA |
># |-87.53076 |30.33239 | 1| 4| alabama|NA |
># |-87.57087 |30.32665 | 1| 5| alabama|NA |
>
>
>
>gg <- ggplot()
>#View(gg)
>gg <- gg + geom_map(data=usa_map1, map=usa_map1,
> aes(long, lat, map_id=region),
> color="#2b2b2b", size=0.15, fill=NA)
>
>gg <- gg + geom_map(data=df, map=usa_map1,
> aes(fill=colors, map_id=region),
> color="#2b2b2b", size=0.15)
>
>
>gg <- gg + geom_text(data=centroids, aes(x, y, label=state), size=2)
>gg <- gg + coord_proj(us_laea_proj)
>gg <- gg + theme_map()
>gg
>
>
>gg <- gg + scale_color_identity()
>gg <- gg + coord_map("polyconic")
>gg <- gg + ggthemes::theme_map()
>gg
>
>#c( "colorado", "idaho", "kansas", "montana", "new mexico",
>"oklahoma","texas", "utah", "wyoming") )
>#c("alaska", "arizona", "california", "hawaii", "nevada",
>"oregon","washington"))
>
>
>
>William H. Poling, Ph.D., MPH
>
>
>
>
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