cumulative-frequency

Is there a way (in R with ggplot or otherwise) to draw frequency and cumulative frequency curves in a single column (two rows) i.e. one top of the other such that a given quartile can be shown on both the curves using straight lines? I hope I am clear on this.. You may use this data.. mydata<-structure(list(speed = c(10, 15, 20, 25, 30, 35, 40, 45, 50),frequency = c(0, 1, 5, 10, 20, 10, 6, 3, 0)), .Names = c("speed","frequency"), row.names = c(NA, -9L), class = "data.frame") mydata<-structure(list(speed = c(10, 15, 20, 25, 30, 35, 40, 45, 50),frequency = c(0, 1, 5, 10, 20, 10, 6, 3, 0)),

I have been doing my office work in Excel.and my records have become too much and want to use mysql.i have a view from db it has the columns "date,stockdelivered,sales" i want to add another calculated field know as "stock balance". i know this is supposed to be done at the client side during data entry. i have a script that generates php list/report only based on views and tables,it has no option for adding calculation fields, so i would like to make a view in mysql if possible. in excel i used to do it as follows. i would like to know if this is possible in mysql. i don't have much

I am plotting Cumulative Distribution Functions, with a large number of data points. I am plotting a few lines on the same plot, which are identified with markers as it will be printed in black and white. What I would like are markers evenly spaced in the x-dimension. What I am getting is one marker per data point (and given the number of points, they all overlap) I'm not sure if it's my understanding of how to plot well, or just a lack of understanding matplotlib. I can't find a 'marker frequency' setting. An easy solution for one line would be to take every N'th value from the line, and use

I'm new with R. I need to generate a simple Frequency Table (as in books) with cumulative frequency and relative frequency. So I want to generate from some simple data like > x [1] 17 17 17 17 17 17 17 17 16 16 16 16 16 18 18 18 10 12 17 17 17 17 17 17 17 17 16 16 16 16 16 18 18 18 10 [36] 12 15 19 20 22 20 19 19 19 a table like: frequency cumulative relative (9.99,11.7] 2 2 0.04545455 (11.7,13.4] 2 4 0.04545455 (13.4,15.1] 1 5 0.02272727 (15.1,16.9] 10 15 0.22727273 (16.9,18.6] 22 37 0.50000000 (18.6,20.3] 6 43 0.13636364 (20.3,22] 1 44 0.02272727 I know it should be simple, but I don't know