Cannot get scatter plot right

[lucyb]

Here is my data:

Type	Respiratory Rate
C	20
C	21
M	20
M	18
N	17
N	16
C	19
C	17
M	17
M	19
N	23
N	18
C	16
C	19
M	20
M	21
N	20
N	20

I am trying to just do a simple scatter plot with a trend line.

plot.default(Type,Respiratory.Rate,main="Respiratory Rate vs Nicotine Type",xlab="Nicotine Type",ylab="Respiratory rate")

I'm trying to get the three different groups (C,M,N) different colored dots. HELP

[tbradley]

Hi @lucyb

Could you please turn this into a self-contained reprex (short for reproducible example)? It will help us help you if we can be sure we're all working with/looking at the same stuff.

install.packages("reprex")

If you've never heard of a reprex before, you might want to start by reading the tidyverse.org help page. The reprex dos and don'ts are also useful.

What to do if you run into clipboard problems

If you run into problems with access to your clipboard, you can specify an outfile for the reprex, and then copy and paste the contents into the forum.

reprex::reprex(input = "fruits_stringdist.R", outfile = "fruits_stringdist.md")

For pointers specific to the community site, check out the reprex FAQ, linked to below.

[iugax]

Hi Lucy ! Are you looking for something like?

library(tidyverse)

data <- tibble::tribble(
    ~Type, ~Respiratory.Rate,
      "C",                20,
      "C",                21,
      "M",                20,
      "M",                18,
      "N",                17,
      "N",                16,
      "C",                19,
      "C",                17,
      "M",                17,
      "M",                19,
      "N",                23,
      "N",                18,
      "C",                16,
      "C",                19,
      "M",                20,
      "M",                21,
      "N",                20,
      "N",                20
    )

data %>%
    ggplot(aes(x=Type, y=Respiratory.Rate, color=Type)) + 
    geom_point() + 
    labs(x='Nicotine Type', y='Respiratory rate', title='Respiratory Rate vs Nicotine Type') +
    theme_minimal() +
    theme(legend.position='none')

[lucyb]

wow helped me no much thank you!!!!