Plot two graphs in same plot in R

Question

I would like to plot y1 and y2 in the same plot   x   lt - seq -2  2  0 05  y1  lt - pnorm x  y2  lt - pnorm x  1  1  plot x  y1  type    l   col    red   plot x  y2  type    l   col    green     But when I do it like this  they are not plotted in the same plot together   In Matlab one can do hold on  but does anyone know how to do this in R

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Idiomatic Matlab plot x1 y1 x2 y2  can be translated in R with ggplot2 for example in this way   x1  lt - seq 1 10  2  df1  lt - data frame x x1 y log x1  type  Log   x2  lt - seq 1 10  df2  lt - data frame x x2 y cumsum 1 x2  type  Harmonic    df  lt - rbind df1 df2   library ggplot2  ggplot df  geom line aes x y colour type       Inspired by Tingting Zhao s Dual line plots with different range of x-axis Using ggplot2

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You can also create your plot using ggvis   library ggvis   x   lt - seq -2  2  0 05  y1  lt - pnorm x  y2  lt - pnorm x 1 1  df  lt - data frame x  y1  y2   df   gt     ggvis  x   y1  stroke     red     gt     layer paths     gt     layer paths data   df  x    x  y    y2  stroke     blue     This will create the following plot

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You can use points for the overplot  that is   plot x1  y1 col  red    points x2 y2 col  blue

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Rather than keeping the values to be plotted in an array  store them in a matrix   By default the entire matrix will be treated as one data set   However if you add the same number of modifiers to the plot  e g  the col    as you have rows in the matrix  R will figure out that each row should be treated independently   For example   x   matrix  c 21 50 80 41   nrow 2   y   matrix  c 1 2 1 2   nrow 2   plot x  y  col  red   blue     This should work unless your data sets are of differing sizes

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if you want to split the plot into two columns  2 plots next to each other   you can do it like this   par mfrow c 1 2    plot x   plot y     Reference Link

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You could use the ggplotly   function from the plotly package to turn any of the gggplot2 examples here into an interactive plot  but I think this sort of plot is better without ggplot2     call Plotly and enter username and key library plotly  x   lt - seq -2  2  0 05  y1  lt - pnorm x  y2  lt - pnorm x  1  1   plot ly x   x    gt     add lines y   y1  color   I  red    name    Red     gt     add lines y   y2  color   I  green    name    Green

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As described by  redmode  you may plot the two lines in the same graphical device using ggplot  In that answer the data were in a  wide  format  However  when using ggplot it is generally most convenient to keep the data in a data frame in a  long  format  Then  by using different  grouping variables  in the aesthetics arguments  properties of the line  such as linetype or colour  will vary according to the grouping variable  and corresponding legends will appear   In this case  we can use the colour aessthetics  which matches colour of the lines to different levels of a variable in the data set  here  y1 vs y2   But first we need to melt the data from wide to long format  using e g  the function  melt  from reshape2 package  Other methods to reshape the data are described here  Reshaping data frame from wide to long format    library ggplot2  library reshape2     original data in a  wide  format x   lt - seq -2  2  0 05  y1  lt - pnorm x  y2  lt - pnorm x  1  1  df  lt - data frame x  y1  y2     melt the data to a long format df2  lt - melt data   df  id vars    x      plot  using the aesthetics argument  colour  ggplot data   df2  aes x   x  y   value  colour   variable     geom line

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You can also use par and plot on the same graph but different axis  Something as follows   plot  x  y1  type  l   col  red    par new TRUE  plot  x  y2  type  l   col  green      If you read in detail about par in R  you will be able to generate really interesting graphs   Another book to look at is Paul Murrel s R Graphics

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tl dr  You want to use curve  with add TRUE  or lines     I disagree with par new TRUE  because that will double-print tick-marks and axis labels  Eg    The output of plot sin   par new T   plot  function x  x  2     Look how messed up the vertical axis labels are  Since the ranges are different you would need to set ylim c lowest point between the two functions  highest point between the two functions   which is less easy than what I m about to show you---and way less easy if you want to add not just two curves  but many     What always confused me about plotting is the difference between curve and lines   If you can t remember that these are the names of the two important plotting commands  just sing it    Here s the big difference between curve and lines   curve will plot a function  like curve sin   lines plots points with x and y values  like  lines  x 0 10  y sin 0 10      And here s a minor difference  curve needs to be called with add TRUE for what you re trying to do  while lines already assumes you re adding to an existing plot     Here s the result of calling plot 0 2   curve sin      Behind the scenes  check out methods plot   And check body  plot function    5    When you call plot sin  R figures out that sin is a function  not y values  and uses the plot function method  which ends up calling curve  So curve is the tool meant to handle functions

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If you are using base graphics  i e  not lattice  grid graphics   then you can mimic MATLAB s hold on feature by using the points lines polygons functions to add additional details to your plots without starting a new plot  In the case of a multiplot layout  you can use par mfg      to pick which plot you add things to

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we can also use lattice library  library lattice  x  lt - seq -2 2 0 05  y1  lt - pnorm x  y2  lt - pnorm x 1 1  xyplot y1   y2   x  ylab    y1 and y2   type    l   auto key   list points   FALSE lines   TRUE     For specific colors  xyplot y1   y2   x ylab    y1 and y2   type    l   auto key   list points   F lines   T   par settings   list superpose line   list col   c  red   green

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Using plotly  adding solution from plotly with primary and secondary y axis- It seems to be missing    library plotly       x   lt - seq -2  2  0 05  y1  lt - pnorm x  y2  lt - pnorm x  1  1   df cbind data frame x y1 y2     plot ly df    gt       add trace x  x y  y1 name    Line 1  type    scatter  mode    lines markers  connectgaps   TRUE    gt       add trace x  x y  y2 name    Line 2  type    scatter  mode    lines markers  connectgaps   TRUE yaxis    y2     gt       layout title    Title          xaxis   list title    X-axis title           yaxis2   list side    right   overlaying    y   title    secondary y axis   showgrid   FALSE  zeroline   FALSE     Screenshot from working demo

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I think that the answer you are looking for is   plot first thing to plot  plot second thing to plot add TRUE

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lines   or points   will add to the existing graph  but will not create a new window  So you d need to do  plot x y1 type  l  col  red   lines x y2 col  green

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Use the matplot function   matplot x  cbind y1 y2  type  l  col c  red   green   lty c 1 1     use this if y1 and y2 are evaluated at the same x points  It scales the Y-axis to fit whichever is bigger  y1 or y2   unlike some of the other answers here that will clip y2 if it gets bigger than y1  ggplot solutions mostly are okay with this    Alternatively  and if the two lines don t have the same x-coordinates  set the axis limits on the first plot and add   x1   lt - seq -2  2  0 05  x2   lt - seq -3  3  0 05  y1  lt - pnorm x1  y2  lt - pnorm x2 1 1   plot x1 y1 ylim range c y1 y2   xlim range c x1 x2    type  l  col  red   lines x2 y2 col  green     Am astonished this Q is 4 years old and nobody has mentioned matplot or x ylim

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When constructing multilayer plots one should consider ggplot package  The idea is to   create a graphical object with basic aesthetics and enhance it incrementally   ggplot style requires data to be packed in data frame     Data generation x   lt - seq -2  2  0 05  y1  lt - pnorm x  y2  lt - pnorm x 1 1  df  lt - data frame x y1 y2    Basic solution   require ggplot2   ggplot df  aes x                          basic graphical object   geom line aes y y1   colour  red        first layer   geom line aes y y2   colour  green      second layer   Here   operator is used to add extra layers to basic object   With ggplot you have access to graphical object on every stage of plotting  Say  usual step-by-step setup can look like this   g  lt - ggplot df  aes x   g  lt - g   geom line aes y y1   colour  red   g  lt - g   geom line aes y y2   colour  green   g   g produces the plot  and you can see it at every stage  well  after creation of at least one layer   Further enchantments of the plot are also made with created object  For example  we can add labels for axises   g  lt - g   ylab  Y     xlab  X   g   Final g looks like     UPDATE  2013-11-08    As pointed out in comments  ggplot s philosophy suggests using data in long format  You can refer to this answer in order to see the corresponding code

[r] Plot two graphs in same plot in R

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