[R] Creating hanging bar plot in r from dplyr

Scott Colwell @co|we|| @end|ng |rom uogue|ph@c@
Sat Apr 20 19:55:52 CEST 2019


That is perfect. Thanks!

--
Scott R. Colwell, PhD

On 2019-04-20, 1:23 PM, "Jeff Newmiller" <jdnewmil using dcn.davis.ca.us> wrote:

    Not really sure I understand what you want. Here is some code to 
    consider:
    
    ################
    
    library(ggplot2)
    library(dplyr)
    library(tidyr)
    
    dta <- read.table( text =
    "samp.N   RSQ    MRB_uc  MRB_sb  MRB_bp
      50      0.3      1.42    37.6   37.6
      50      0.4      8.61    43.1   43.1
      50      0.5      7.41    31.6   31.6
      50      0.6      5.06    21.5   21.5
      50      0.7      3.38    14.1   14.1
      50      0.8     -1.07    5.16   5.16
    100      0.3     -6.41    40.3   40.3
    100      0.4     -10.6    21.0   21.0
    100      0.5     -9.02    13.2   13.2
    100      0.6     -9.85    5.14   5.14
    100      0.7     -7.94    2.08   2.08
    100      0.8     -4.81    1.28   1.28
    ", header = TRUE )
    dta2 <- (   dta
             %>% mutate( samp.N = factor( samp.N )
                       , RSQ = factor( RSQ )
                       )
             %>% gather( Measure, value, -c( samp.N, RSQ ) )
             )
    
    ggplot( dta2, aes( x = RSQ, y = value, fill = samp.N ) ) +
       geom_bar( stat = "identity", position = "dodge", colour = "black" ) +
       facet_wrap( ~ Measure, ncol = 1, scale = "free_y" ) +
       ylab( "" )
    
    ################
    
    
    On Sat, 20 Apr 2019, Scott Colwell wrote:
    
    > I am trying to figure out how to create a hanging bar plot from dplyr.
    > I have used dplyr as follows:
    > table4 <- cr %>%
    >  group_by(samp.N, RSQ) %>%
    >  summarize(
    >    MRB_uc = mean(CF.F1F2/0.40*100)-100,
    >    MRB_sb = mean(SBC.F1F2.Alpha/0.40*100) - 100,
    >    MRB_bp = mean(BPC.F1F2.Alpha/0.40*100) - 100
    >  )
    > which provides me with this:
    >   samp.N   RSQ MRB_uc MRB_sb MRB_bp
    >    <dbl> <dbl>  <dbl>  <dbl>  <dbl>
    > 1     50   0.3   1.42  37.6   37.6
    > 2     50   0.4   8.61  43.1   43.1
    > 3     50   0.5   7.41  31.6   31.6
    > 4     50   0.6   5.06  21.5   21.5
    > 5     50   0.7   3.38  14.1   14.1
    > 6     50   0.8  -1.07   5.16   5.16
    > 7    100   0.3  -6.41  40.3   40.3
    > 8    100   0.4 -10.6   21.0   21.0
    > 9    100   0.5  -9.02  13.2   13.2
    > 10    100   0.6  -9.85   5.14   5.14
    > 11    100   0.7  -7.94   2.08   2.08
    > 12    100   0.8  -4.81   1.28   1.28
    > What I want to do is create a hanging bar plot with the x-axis being samp.N value by RSQ value. The bars are then values of MRB_uc, MRB_sb, and MRB_bp. Given some values are negative, some bars will be above zero and others below (hence the hanging bar plot)
    > I don't have any code yet as I am completely unfamiliar with how to do this. Any suggestions would be really appreciated.
    > Thank you!
    > Scott
    >
    >
    >
    >
    > --
    > Scott R. Colwell, PhD
    >
    >
    > 	[[alternative HTML version deleted]]
    >
    > ______________________________________________
    > R-help using 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.
    >
    
    ---------------------------------------------------------------------------
    Jeff Newmiller                        The     .....       .....  Go Live...
    DCN:<jdnewmil using dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live Go...
                                           Live:   OO#.. Dead: OO#..  Playing
    Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
    /Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
    ---------------------------------------------------------------------------
    



More information about the R-help mailing list