从数据框中绘制多条平滑线 [英] Plotting multiple smooth lines from a dataframe

问题描述

我对R相对较新.我正在尝试绘制从csv文件加载的数据帧.数据由6列组成，如下所示:

I am relatively new to R. I am trying to plot a dataframe loaded from a csv file. The data consists of 6 columns like this:

xval,col1,col2,col3,col4,col5

第一列(xval)由一系列单调递增的正整数(例如10、40、60等)组成，其他列1至5由浮点数组成.

The first column (xval) consist of a sequence of monotonically increasing positive integers (e.g. 10, 40, 60 etc), the other columns columns 1 to 5, consist of floating point numbers.

我要在R中创建一个图，如下所示:

I want to create a plot in R as follows:

• 在x轴上绘制xval项
• 绘制剩余的列(col1 ... col5)行
• 使用col2创建一个图例图例，... col5重命名

要绘制的数据(col1，... col5)是快照"值，因此尽管我想将它们绘制为线，但我还是希望这些线平滑(即插值).

The data to be plotted (col1, ... col5) are 'snapshot' values so although I want to plot them as lines, I want the lines to be smoothed (i.e. interpolated).

我正在寻找一个片段，一旦将数据读入数据框，该片段将帮助我创建绘图.任何帮助将不胜感激.

I am looking for a snippet that help me create the plot once I have read the data into a dataframe. Any help will be appreciated.

推荐答案

看看ggplot2

#create dummy data
n <- 200
dataset <- data.frame(xval = runif(n), col1 = rnorm(n), col2 = rnorm(n, sd = 2), col3 = rnorm(n, mean = seq(0, 2, length = n)), col4 = rnorm(n, sd = seq(0, 1, length = n)), col5 = rnorm(n, mean = 1))
#convert data to long format
library(reshape)
Molten <- melt(dataset, id.vars = "xval")
#plot it
library(ggplot2)
ggplot(Molten, aes(x = xval, y = value, colour = variable)) + 
    geom_smooth() + geom_point()
#some tweaking
ggplot(Molten, aes(x = xval, y = value, colour = variable)) + 
    geom_smooth(se = FALSE) + geom_point() + theme_bw() + 
    scale_x_continuous("the x label") + scale_x_continuous("the y label") +
    scale_colour_discrete("")

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