fill area between two lines with different x-values










0















I have a data frame with two columns xs and ys. Each row represents a line and in each cell is a list with 51 consecutive observations (so 2 lists in each row for x and y!).



I want to fill the space between the lines in the data frame.



the problem is that there's a randomness in x and y, so I can't just take the ymin and ymax for each data point on x.



this would create similarly shaped data (with only 2 lines with 10 observations):



genData <- function() 
set.seed(42)
genOneLine <- function(m_x, m_y)
xs = seq(0,1,by=0.1)
x_ran <- rnorm(8, m_x, 0.1)
xs[2:9] = xs[2:9] + x_ran
ys = seq(0,1,by=0.1)
y_ran <- rnorm(8, m_y, 0.1)
ys[2:9] = ys[2:9] + y_ran
return (data.table(x = list(xs), y = list(ys)))

return (rbind(genOneLine(-0.1, -0.1), genOneLine(0.1, 0.1)))










share|improve this question



















  • 5





    You may not be able to share your real data, but surely you can throw together some example data? Say, ~10 rows with similar structure and properties as your real data to demonstrate the problem? See here for advice on creating reproducible examples. Use set.seed to make any randomness reproducible.

    – Gregor
    Nov 13 '18 at 20:22












  • What do you mean "fill the space between the lines in the data frame"? Do you mean something about plotting the data or interpolating?

    – G5W
    Nov 13 '18 at 20:26












  • sure, I can throw together some example data! I thought it was more or less clear, but it probalby helps. I'll update the question in a few minutes

    – Leander
    Nov 13 '18 at 20:44











  • I have updated the question

    – Leander
    Nov 13 '18 at 21:05
















0















I have a data frame with two columns xs and ys. Each row represents a line and in each cell is a list with 51 consecutive observations (so 2 lists in each row for x and y!).



I want to fill the space between the lines in the data frame.



the problem is that there's a randomness in x and y, so I can't just take the ymin and ymax for each data point on x.



this would create similarly shaped data (with only 2 lines with 10 observations):



genData <- function() 
set.seed(42)
genOneLine <- function(m_x, m_y)
xs = seq(0,1,by=0.1)
x_ran <- rnorm(8, m_x, 0.1)
xs[2:9] = xs[2:9] + x_ran
ys = seq(0,1,by=0.1)
y_ran <- rnorm(8, m_y, 0.1)
ys[2:9] = ys[2:9] + y_ran
return (data.table(x = list(xs), y = list(ys)))

return (rbind(genOneLine(-0.1, -0.1), genOneLine(0.1, 0.1)))










share|improve this question



















  • 5





    You may not be able to share your real data, but surely you can throw together some example data? Say, ~10 rows with similar structure and properties as your real data to demonstrate the problem? See here for advice on creating reproducible examples. Use set.seed to make any randomness reproducible.

    – Gregor
    Nov 13 '18 at 20:22












  • What do you mean "fill the space between the lines in the data frame"? Do you mean something about plotting the data or interpolating?

    – G5W
    Nov 13 '18 at 20:26












  • sure, I can throw together some example data! I thought it was more or less clear, but it probalby helps. I'll update the question in a few minutes

    – Leander
    Nov 13 '18 at 20:44











  • I have updated the question

    – Leander
    Nov 13 '18 at 21:05














0












0








0








I have a data frame with two columns xs and ys. Each row represents a line and in each cell is a list with 51 consecutive observations (so 2 lists in each row for x and y!).



I want to fill the space between the lines in the data frame.



the problem is that there's a randomness in x and y, so I can't just take the ymin and ymax for each data point on x.



this would create similarly shaped data (with only 2 lines with 10 observations):



genData <- function() 
set.seed(42)
genOneLine <- function(m_x, m_y)
xs = seq(0,1,by=0.1)
x_ran <- rnorm(8, m_x, 0.1)
xs[2:9] = xs[2:9] + x_ran
ys = seq(0,1,by=0.1)
y_ran <- rnorm(8, m_y, 0.1)
ys[2:9] = ys[2:9] + y_ran
return (data.table(x = list(xs), y = list(ys)))

return (rbind(genOneLine(-0.1, -0.1), genOneLine(0.1, 0.1)))










share|improve this question
















I have a data frame with two columns xs and ys. Each row represents a line and in each cell is a list with 51 consecutive observations (so 2 lists in each row for x and y!).



I want to fill the space between the lines in the data frame.



the problem is that there's a randomness in x and y, so I can't just take the ymin and ymax for each data point on x.



this would create similarly shaped data (with only 2 lines with 10 observations):



genData <- function() 
set.seed(42)
genOneLine <- function(m_x, m_y)
xs = seq(0,1,by=0.1)
x_ran <- rnorm(8, m_x, 0.1)
xs[2:9] = xs[2:9] + x_ran
ys = seq(0,1,by=0.1)
y_ran <- rnorm(8, m_y, 0.1)
ys[2:9] = ys[2:9] + y_ran
return (data.table(x = list(xs), y = list(ys)))

return (rbind(genOneLine(-0.1, -0.1), genOneLine(0.1, 0.1)))







r ggplot2 plot






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share|improve this question













share|improve this question




share|improve this question








edited Nov 13 '18 at 21:05







Leander

















asked Nov 13 '18 at 20:18









LeanderLeander

570819




570819







  • 5





    You may not be able to share your real data, but surely you can throw together some example data? Say, ~10 rows with similar structure and properties as your real data to demonstrate the problem? See here for advice on creating reproducible examples. Use set.seed to make any randomness reproducible.

    – Gregor
    Nov 13 '18 at 20:22












  • What do you mean "fill the space between the lines in the data frame"? Do you mean something about plotting the data or interpolating?

    – G5W
    Nov 13 '18 at 20:26












  • sure, I can throw together some example data! I thought it was more or less clear, but it probalby helps. I'll update the question in a few minutes

    – Leander
    Nov 13 '18 at 20:44











  • I have updated the question

    – Leander
    Nov 13 '18 at 21:05













  • 5





    You may not be able to share your real data, but surely you can throw together some example data? Say, ~10 rows with similar structure and properties as your real data to demonstrate the problem? See here for advice on creating reproducible examples. Use set.seed to make any randomness reproducible.

    – Gregor
    Nov 13 '18 at 20:22












  • What do you mean "fill the space between the lines in the data frame"? Do you mean something about plotting the data or interpolating?

    – G5W
    Nov 13 '18 at 20:26












  • sure, I can throw together some example data! I thought it was more or less clear, but it probalby helps. I'll update the question in a few minutes

    – Leander
    Nov 13 '18 at 20:44











  • I have updated the question

    – Leander
    Nov 13 '18 at 21:05








5




5





You may not be able to share your real data, but surely you can throw together some example data? Say, ~10 rows with similar structure and properties as your real data to demonstrate the problem? See here for advice on creating reproducible examples. Use set.seed to make any randomness reproducible.

– Gregor
Nov 13 '18 at 20:22






You may not be able to share your real data, but surely you can throw together some example data? Say, ~10 rows with similar structure and properties as your real data to demonstrate the problem? See here for advice on creating reproducible examples. Use set.seed to make any randomness reproducible.

– Gregor
Nov 13 '18 at 20:22














What do you mean "fill the space between the lines in the data frame"? Do you mean something about plotting the data or interpolating?

– G5W
Nov 13 '18 at 20:26






What do you mean "fill the space between the lines in the data frame"? Do you mean something about plotting the data or interpolating?

– G5W
Nov 13 '18 at 20:26














sure, I can throw together some example data! I thought it was more or less clear, but it probalby helps. I'll update the question in a few minutes

– Leander
Nov 13 '18 at 20:44





sure, I can throw together some example data! I thought it was more or less clear, but it probalby helps. I'll update the question in a few minutes

– Leander
Nov 13 '18 at 20:44













I have updated the question

– Leander
Nov 13 '18 at 21:05






I have updated the question

– Leander
Nov 13 '18 at 21:05













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