r - How to graph multiple lines in a single plot ggplot2? -


i'm working on r shiny program can take csv file , output graphs of it. user uploads csv has guidelines on how data should look, don't want strict.

i'm trying use ggplot2 graph multiple lines of same dataset on 1 plot comparison.

the data uploading looks (simplified, data has on 1000 rows): 

date hamburgers salads sodas fries 12-01    4        4      3    2 12-02    1        7      3    9 12-03    22       24     45   34 12-04    23       44    46    22

i'm trying output graph has time on x-axis (the user chooses via sidebar, can choose axis, time makes sense here). y axis, want 4 lines, colored differently, plotting each variable on time.

i have of 'user taking in input , choosing columns graph' implemented, simplicity's sake, can assume part, has been hard coded (so y variable input$y, etc in implementation)

the portion of code try graph data is:

output$plotline <- renderplot({   p <- ggplot(data, aes_string(x=x, y=y), environment = environment())        p <- p + geom_point(size = 3)        p <- p + geom_line(aes(group=1))     print(p) })

this plots 1 of lines, have no idea how plot others on same plot. i've read using 'group' in aes function, depends on having classifier in dataset, 1 not have.

i have looked melt() function reshape2 package not sure how me (both multiple line problem , greater sense of project, user doesn't have abide strict rules upload format of csv).

any appreciated!

assuming put xaxis variable (date) in selectedxaxis, selected products in selectedproducts , data holding loaded data:

selectedxaxis = "date" selectedproducts = c("sodas", "salads") widedata = subset(data, select = c(selectedxaxis, selectedcolumns))  longdata = melt(widedata, id.vars=selectedxaxis, variable.name='product', value.name='count') ggplot(longdata) + geom_line(aes(date, count, color=product))

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