Use xlab and ylab arguments in the initial plot call to give better axis labels. You may also modify the y-axis by adding an at-argument. The x-axis is added by afterwards specifyingĪxis( 1, at= c( 0, 3, 6, 9, 12, 18, 24) )Īdd the y-axis by simply typing axis(2). Modify your initial plot() command by adding the argument axes=F to tell R not to make the axes. We need a nonstandard x-axis as we will only want the months to be printed on the x-axis for the months with observations. Notice that the new points are below the y-scale of the plot, so you need to revise the initial plot by setting a suitable ylim value.Īdd the horizontal line at y = 0 using e.g. Plot the means for the control group, m1, as a function of times using the plot argument type='b'.Īdd a similar curve for the Tamoxifen group to the plot using lines() (i.e. Mean(d2 $c18), mean(d2 $c24) ) m1 is thus a vector with 7 elements containing the mean change in SAP at the 7 time points of measurements.Ĭreate a vector with the time points: times <- c(0,3,6,9,12,18,24). The dots represent the mean values and the points are joined within each group.īelow you are guided through the steps to produce this graph.įor each treatment group, determine the means for all time points and save them in two vectors named m1 and m2. The graph above shows the development of SAP levels in the two treatment groups over time. Serum alkaline phosphatase 24 months after randomizationĪll measurements of serum alkaline phosphatase are measured as the percentage change in serum alkaline phosphatase (SAP) from baseline (c0). Serum alkaline phosphatase 18 months after randomization Serum alkaline phosphatase 9 months after randomization Serum alkaline phosphatase 6 months after randomization Serum alkaline phosphatase 3 months after randomization Treatment group (1: Control, 2: Tamoxifen)īaseline measurement of serum alkaline phosphatase The data set contains the following variables: Variable name 7.1.6 Combining several plots in one graph.6.2 Mean, standard deviation and confidence interval.5.4.2 Grouped variables from numeric variables.2.5 Autocorrect and code autocompletion.The below script will create and save the pie chart in the current R working directory. Radius indicates the radius of the circle of the pie chart.(value between −1 and +1).Ĭlockwise is a logical value indicating if the slices are drawn clockwise or anti clockwise.Ī very simple pie-chart is created using just the input vector and labels. Labels is used to give description to the slices. ![]() X is a vector containing the numeric values used in the pie chart. Pie(x, labels, radius, main, col, clockwise)įollowing is the description of the parameters used − The basic syntax for creating a pie-chart using the R is − ![]() The additional parameters are used to control labels, color, title etc. In R the pie chart is created using the pie() function which takes positive numbers as a vector input. The slices are labeled and the numbers corresponding to each slice is also represented in the chart. A pie-chart is a representation of values as slices of a circle with different colors. R Programming language has numerous libraries to create charts and graphs.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |