Why do two legends appear when manually editing in ggplot2?











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1
down vote

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I want to plot two lines, one solid and another one dotted, both with different colors. I'm having trouble dealing with the legends for this plot. Take this example:



library(ggplot2)
library(reshape2)

df = data.frame(time = 0:127,
mean_clustered = rnorm(128),
mean_true = rnorm(128)
)
test_data_long <- melt(df, id="time") # convert to long format
p = ggplot(data=test_data_long,
aes(x=time, y=value, colour=variable)) +
geom_line(aes(linetype=variable)) +
labs(title = "", x = "Muestras", y = "Amplitud", color = "Spike promedion") +
scale_color_manual(labels = c("Hallado", "Real"), values = c("blue", "red")) +
xlim(0, 127)

print(p)


Two legends appear, and on top of it, none of them is correct (the one with the right colors has wrong line styles, and the one with the right line styles has all other things wrong).



enter image description here



Why is this happening and how can I get the right legend to appear?










share|improve this question


























    up vote
    1
    down vote

    favorite












    I want to plot two lines, one solid and another one dotted, both with different colors. I'm having trouble dealing with the legends for this plot. Take this example:



    library(ggplot2)
    library(reshape2)

    df = data.frame(time = 0:127,
    mean_clustered = rnorm(128),
    mean_true = rnorm(128)
    )
    test_data_long <- melt(df, id="time") # convert to long format
    p = ggplot(data=test_data_long,
    aes(x=time, y=value, colour=variable)) +
    geom_line(aes(linetype=variable)) +
    labs(title = "", x = "Muestras", y = "Amplitud", color = "Spike promedion") +
    scale_color_manual(labels = c("Hallado", "Real"), values = c("blue", "red")) +
    xlim(0, 127)

    print(p)


    Two legends appear, and on top of it, none of them is correct (the one with the right colors has wrong line styles, and the one with the right line styles has all other things wrong).



    enter image description here



    Why is this happening and how can I get the right legend to appear?










    share|improve this question
























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      I want to plot two lines, one solid and another one dotted, both with different colors. I'm having trouble dealing with the legends for this plot. Take this example:



      library(ggplot2)
      library(reshape2)

      df = data.frame(time = 0:127,
      mean_clustered = rnorm(128),
      mean_true = rnorm(128)
      )
      test_data_long <- melt(df, id="time") # convert to long format
      p = ggplot(data=test_data_long,
      aes(x=time, y=value, colour=variable)) +
      geom_line(aes(linetype=variable)) +
      labs(title = "", x = "Muestras", y = "Amplitud", color = "Spike promedion") +
      scale_color_manual(labels = c("Hallado", "Real"), values = c("blue", "red")) +
      xlim(0, 127)

      print(p)


      Two legends appear, and on top of it, none of them is correct (the one with the right colors has wrong line styles, and the one with the right line styles has all other things wrong).



      enter image description here



      Why is this happening and how can I get the right legend to appear?










      share|improve this question













      I want to plot two lines, one solid and another one dotted, both with different colors. I'm having trouble dealing with the legends for this plot. Take this example:



      library(ggplot2)
      library(reshape2)

      df = data.frame(time = 0:127,
      mean_clustered = rnorm(128),
      mean_true = rnorm(128)
      )
      test_data_long <- melt(df, id="time") # convert to long format
      p = ggplot(data=test_data_long,
      aes(x=time, y=value, colour=variable)) +
      geom_line(aes(linetype=variable)) +
      labs(title = "", x = "Muestras", y = "Amplitud", color = "Spike promedion") +
      scale_color_manual(labels = c("Hallado", "Real"), values = c("blue", "red")) +
      xlim(0, 127)

      print(p)


      Two legends appear, and on top of it, none of them is correct (the one with the right colors has wrong line styles, and the one with the right line styles has all other things wrong).



      enter image description here



      Why is this happening and how can I get the right legend to appear?







      r ggplot2






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 11 at 15:18









      Tendero

      431414




      431414
























          1 Answer
          1






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          oldest

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          up vote
          2
          down vote



          accepted










          You need to ensure all the aesthetic mappings match between the different aesthetics you're using:



          library(ggplot2)
          library(reshape2)

          data.frame(
          time = 0:127,
          mean_clustered = rnorm(128),
          mean_true = rnorm(128)
          ) -> xdf

          test_data_long <- melt(xdf, id = "time")

          ggplot(
          data = test_data_long,
          aes(x = time, y = value, colour = variable)
          ) +
          geom_line(aes(linetype = variable)) +
          scale_color_manual(
          name = "Spike promedion", labels = c("Hallado", "Real"), values = c("blue", "red")
          ) +
          scale_linetype(
          name = "Spike promedion", labels = c("Hallado", "Real")
          ) +
          labs(
          x = "Muestras", y = "Amplitud", title = ""
          ) +
          xlim(0, 127)


          enter image description here



          Might I suggest also using theme parameters to adjust the legend title:



          ggplot(data = test_data_long, aes(x = time, y = value, colour = variable)) +
          geom_line(aes(linetype = variable)) +
          scale_x_continuous(name = "Muestras", limits = c(0, 127)) +
          scale_y_continuous(name = "Amplitud") +
          scale_color_manual(name = "Spike promedio", labels = c("Hallado", "Real"), values = c("blue", "red")) +
          scale_linetype(name = "Spike promedio", labels = c("Hallado", "Real")) +
          labs(title = "") +
          theme(legend.title = element_text(margin = margin(b=15)))





          share|improve this answer





















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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            2
            down vote



            accepted










            You need to ensure all the aesthetic mappings match between the different aesthetics you're using:



            library(ggplot2)
            library(reshape2)

            data.frame(
            time = 0:127,
            mean_clustered = rnorm(128),
            mean_true = rnorm(128)
            ) -> xdf

            test_data_long <- melt(xdf, id = "time")

            ggplot(
            data = test_data_long,
            aes(x = time, y = value, colour = variable)
            ) +
            geom_line(aes(linetype = variable)) +
            scale_color_manual(
            name = "Spike promedion", labels = c("Hallado", "Real"), values = c("blue", "red")
            ) +
            scale_linetype(
            name = "Spike promedion", labels = c("Hallado", "Real")
            ) +
            labs(
            x = "Muestras", y = "Amplitud", title = ""
            ) +
            xlim(0, 127)


            enter image description here



            Might I suggest also using theme parameters to adjust the legend title:



            ggplot(data = test_data_long, aes(x = time, y = value, colour = variable)) +
            geom_line(aes(linetype = variable)) +
            scale_x_continuous(name = "Muestras", limits = c(0, 127)) +
            scale_y_continuous(name = "Amplitud") +
            scale_color_manual(name = "Spike promedio", labels = c("Hallado", "Real"), values = c("blue", "red")) +
            scale_linetype(name = "Spike promedio", labels = c("Hallado", "Real")) +
            labs(title = "") +
            theme(legend.title = element_text(margin = margin(b=15)))





            share|improve this answer

























              up vote
              2
              down vote



              accepted










              You need to ensure all the aesthetic mappings match between the different aesthetics you're using:



              library(ggplot2)
              library(reshape2)

              data.frame(
              time = 0:127,
              mean_clustered = rnorm(128),
              mean_true = rnorm(128)
              ) -> xdf

              test_data_long <- melt(xdf, id = "time")

              ggplot(
              data = test_data_long,
              aes(x = time, y = value, colour = variable)
              ) +
              geom_line(aes(linetype = variable)) +
              scale_color_manual(
              name = "Spike promedion", labels = c("Hallado", "Real"), values = c("blue", "red")
              ) +
              scale_linetype(
              name = "Spike promedion", labels = c("Hallado", "Real")
              ) +
              labs(
              x = "Muestras", y = "Amplitud", title = ""
              ) +
              xlim(0, 127)


              enter image description here



              Might I suggest also using theme parameters to adjust the legend title:



              ggplot(data = test_data_long, aes(x = time, y = value, colour = variable)) +
              geom_line(aes(linetype = variable)) +
              scale_x_continuous(name = "Muestras", limits = c(0, 127)) +
              scale_y_continuous(name = "Amplitud") +
              scale_color_manual(name = "Spike promedio", labels = c("Hallado", "Real"), values = c("blue", "red")) +
              scale_linetype(name = "Spike promedio", labels = c("Hallado", "Real")) +
              labs(title = "") +
              theme(legend.title = element_text(margin = margin(b=15)))





              share|improve this answer























                up vote
                2
                down vote



                accepted







                up vote
                2
                down vote



                accepted






                You need to ensure all the aesthetic mappings match between the different aesthetics you're using:



                library(ggplot2)
                library(reshape2)

                data.frame(
                time = 0:127,
                mean_clustered = rnorm(128),
                mean_true = rnorm(128)
                ) -> xdf

                test_data_long <- melt(xdf, id = "time")

                ggplot(
                data = test_data_long,
                aes(x = time, y = value, colour = variable)
                ) +
                geom_line(aes(linetype = variable)) +
                scale_color_manual(
                name = "Spike promedion", labels = c("Hallado", "Real"), values = c("blue", "red")
                ) +
                scale_linetype(
                name = "Spike promedion", labels = c("Hallado", "Real")
                ) +
                labs(
                x = "Muestras", y = "Amplitud", title = ""
                ) +
                xlim(0, 127)


                enter image description here



                Might I suggest also using theme parameters to adjust the legend title:



                ggplot(data = test_data_long, aes(x = time, y = value, colour = variable)) +
                geom_line(aes(linetype = variable)) +
                scale_x_continuous(name = "Muestras", limits = c(0, 127)) +
                scale_y_continuous(name = "Amplitud") +
                scale_color_manual(name = "Spike promedio", labels = c("Hallado", "Real"), values = c("blue", "red")) +
                scale_linetype(name = "Spike promedio", labels = c("Hallado", "Real")) +
                labs(title = "") +
                theme(legend.title = element_text(margin = margin(b=15)))





                share|improve this answer












                You need to ensure all the aesthetic mappings match between the different aesthetics you're using:



                library(ggplot2)
                library(reshape2)

                data.frame(
                time = 0:127,
                mean_clustered = rnorm(128),
                mean_true = rnorm(128)
                ) -> xdf

                test_data_long <- melt(xdf, id = "time")

                ggplot(
                data = test_data_long,
                aes(x = time, y = value, colour = variable)
                ) +
                geom_line(aes(linetype = variable)) +
                scale_color_manual(
                name = "Spike promedion", labels = c("Hallado", "Real"), values = c("blue", "red")
                ) +
                scale_linetype(
                name = "Spike promedion", labels = c("Hallado", "Real")
                ) +
                labs(
                x = "Muestras", y = "Amplitud", title = ""
                ) +
                xlim(0, 127)


                enter image description here



                Might I suggest also using theme parameters to adjust the legend title:



                ggplot(data = test_data_long, aes(x = time, y = value, colour = variable)) +
                geom_line(aes(linetype = variable)) +
                scale_x_continuous(name = "Muestras", limits = c(0, 127)) +
                scale_y_continuous(name = "Amplitud") +
                scale_color_manual(name = "Spike promedio", labels = c("Hallado", "Real"), values = c("blue", "red")) +
                scale_linetype(name = "Spike promedio", labels = c("Hallado", "Real")) +
                labs(title = "") +
                theme(legend.title = element_text(margin = margin(b=15)))






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 11 at 15:26









                hrbrmstr

                59.6k585146




                59.6k585146






























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