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I'm trying to plot election results on the US map with the usmap package but even though the dataset is complete, I get plot that shows missing values for some states. The states are greyed out and I'm not sure why this is happening..
plot_usmap(data=data_total,values='percent_biden')+
scale_fill_continuous(low='red',high='blue',name='Percent for Biden')+
theme(legend.position='right')+
ggtitle(paste("Total Popular Vote of Final Results"))
You are incorrectly assuming that usmap will infer any format for state names. For instance, both of these produce a working map,
usmap::plot_usmap(data=data.frame(state=c("alabama","new york"),s=c(5,15)), values="s")
usmap::plot_usmap(data=data.frame(state=c("AL","NY"),s=c(5,15)), values="s")
whereas inferring from your pic of data, you are trying
usmap::plot_usmap(data=data.frame(state=c("alabama","new-york"),s=c(5,15)), values="s")
# ^ dash, not space
So I believe you need to clean up your data and fix your state names.
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I have a problem with the coding of some variables. I am working on data for Lebanon on R on two different datasets, the World Value Survey and the Arab Barometer. Regardless of the dataset I am using, when I try to code a variable referring only to one country (in this case Lebanon), the values of the variable at the end of the coding are entirely wrong.
I have tried the same coding with other variables and with another dataset, but the problem remains, and the values are still much larger than they should be.
As can be seen from the values in the 'table' command, the values after encoding are very different.
As a beginner, I'm sure my question will be trivial, but I'm asking for help to unblock the situation.
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I have a task a bit complicated for my knowledge in R. I need to reproduce this graphic of the figure in R, I performed several searches and could not find anything. The main thing is to be able to reproduce the graphic (it doesn't have to be identical), subtitles are not so important. Any ideas on how to do it or just using another program? Thanks!!
Check also the facet_share() function of the ggpol package, very handy for population pyramids/comparisons
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I am working on a project right now and encountered this problem.
I have a dataset consisting of two dates columns. One, say it x1, stands for check-in dates, the other, say it x2, stands for check-out dates.
Both of them are in the "year-month-day" format and have the type of string.
What I would like to do is figuring out how long does a person stay using check-in, check-out dates. I've tried multiple functions like as.Date. But all failed and I believe I just can't subtract these two dates directly as the results wouldn't represent the actual stay length.
Does anybody have any idea on how to do this in R?
Thanks!
If I understood your question, you want the difference between checkout and checkin? I would try this:
library(lubridate)
df<-data.frame(x1=c("2017-03-23","2017-03-24"),x2=c("2017-03-24","2017-03-28"))
df[]<-lapply(df,ymd)
df$x2-df$x1
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I need to get the value of temperature in a point (latitude, longitude) using the value of temperature of others points (latitude, longitude) by interpolation... I have the temperature of some stations (for exemple, 10, 40.01, 03.00 ....) in a csv file.
I want to use only the values inside a radio from my point. How can I do that in R?
Spatial regression is a complex problem. You may get ideas from the CRAN Task: Analysis of Spatial Data
https://CRAN.R-project.org/view=Spatial
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I have this data frame made in R :
Technical Junior Entry-Level Product Owner Technical Leader Senior
Professional 2,236 3,581 3,781 3,654 4,454
Communication 2,619 3,333 4,285 4,190 4,952
Innovation 3,625 4,208 4,500 4,000 4,791
And I want to plot something like that in R (I have made this in Excel)
Radar plot made in excel
Please help me to make this graph through R cause I failed making it with ggplot, ggtern, plotrix and other libraries I cannot manage properly.
I did it very easily using fmsb::radarchart(). Note I had to remove the commas first from your data, which I then read in as df. I also had to add rows for the min and max to reproduce your Excel plot.
library(fmsb)
df1 <- data.frame(t(df))
dfminmax <- rbind(rep(max(df1), 3) , rep(min(df1), 3) , df1)
radarchart(dfminmax)
You're going to want to tweak the settings to make it look better. Use ?radarchart to find out all the options.