# [R] Creating a simple line graph

Liviu Andronic landronimirc at gmail.com
Tue Aug 25 10:51:16 CEST 2009

```Hello
I couldn't quite understand exactly what graph you are looking for, so
I'd be unable to provide code. Couple of pointers, though.
- Put your data into a data frame and look at Rcmdr "Graphs" menu. It
can do many types of them, and it should give you enough examples to
get started with.
- Try plot(x, y) and see if it satisfies your needs
- Once you get working the command, try say playwith(plot(x, y))
- Quick-R [1] contains many good examples for beginners.
Best
Liviu

[1] http://www.statmethods.net/graphs/index.html

On 8/24/09, PDXRugger <J_R_36 at hotmail.com> wrote:
>
>  Hey everyone,
>    Sorry for yet another simple question but hopefully it makes whoever
>  comes up with the answer feel good about helping others.  I would like to
>  simply plot the following two sets of data in a line graph.  The one set is
>  an observed set of points and the latter is the predicted.  I have looked
>  through the documentation (which makes any graphing very complicated to me)
>  but i havent found what i need. So for:
>
>
>  Sz= c("h1","h2","h3","h4")
>  Pred=c(34790.0 ,47559.8, 21197.8, 28198.6)
>  Obs=c(34740 ,48615 ,20420, 26840)
>
>  MeanEst2000.Sz=cbind(Sz,Pred)
>  LaneCo2000HH.Sz =cbind(Sz,Obs)
>
>
>   I would like the x-axis to display the labels(Sz) and the y-axis to be the
>  vlaues
>
>  I am currently using the below (wont work with sample data) which gives me
>  the proportions of the observed versus the predicted in four different
>  graphs in histogram format.
>
>   panelHist(DataMatrix=t(apply(Hh2000.SnSz, 1, 4)),
>                ObsMeans=proportion(rowSums(LaneCo2000HH.SzWk),4),
>                Bounds=c(0.95, 1.05)
>                )
>
>
>
>  Also, if there is additional documentation for these operations i would
>  appreciate any insights./  Thanks
>
>  --
>  View this message in context: http://www.nabble.com/Creating-a-simple-line-graph-tp25123681p25123681.html
>  Sent from the R help mailing list archive at Nabble.com.
>
>  ______________________________________________
>  R-help at r-project.org mailing list
>  https://stat.ethz.ch/mailman/listinfo/r-help
>  and provide commented, minimal, self-contained, reproducible code.
>

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