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Problem solved! -- View this message in context: http://r.789695.n4.nabble.com/Plot-from-function-tp3744428p3744695.html Sent from the R help mailing list archive at Nabble.com.
> ls(hakat) [1] "X15h" "X18h" "X1h" "X21h" "X4h" "X9h" -- View this message in context: http://r.789695.n4.nabble.com/Plot-from-function-tp3744428p3744592.html Sent from the R help mailing list archive at Nabble.com.
http://r.789695.n4.nabble.com/file/n3558595/help_snap.jpg Why do R rename my rows and columns when loading it like in the image above? -- View this message in context: http://r.789695.n4.nabble.com/Plot-rows...
I have been browsing the pages about ggplot and it really doesn't deal with such problems as far as I can see. -- View this message in context: http://r.789695.n4.nabble.com/re-write-plot-function-for-ggplot...
It workes using "" But what is this: > p <- plot_mi_time(hakat, "hsa-miR-100") X1h X4h X9h X15h X18h X21h hsa-miR-100 384 1038 1503 1511 2603 2899 *Error in xy.coords(x, y, xlabel, ylabel, log) : 'x...
Hi, this works: apply(mtcars[c("Mazda RX4", "Merc 450SLC", "Maserati Bora"), ], 1, plot) How do you add labels and additional edit in such a plot? For instance I want mpg cyl disp hp drat wt qsec vs am gear...
http://r.789695.n4.nabble.com/file/n3555898/example.jpg Hi, I have a CSV-file (see image) that I would like to plot. I want to make a plot-function where I only plot one row at the time...
Hi, I have the following function that i use to plot graphs. plot_mi_time = function(mdata, miname) { mdata2 = mdata[row.names(mir_test3) == miname, ] # print(mdata2) xcoords <- c(1,1,2,2,3,3) plot(xcoords, mdata2, xaxt="n...
I have a matrix like this Name 1 2 3 4 5 NM_001039514 1.033557047 0.7469879518 0.9004524887 0.8613861386 0.7952499048 NM_001039723 1.0759493671 1.2315789474 0.8666666667 1.1142857143 0.9428011471 NM_001042605 0.9897435897...
I am using the following function to plot columns from a CSV-file: plot_mi_time = function(mdata, miname) { mdata2 = mdata[row.names(mir_test) == miname, ] # print(mdata2) plot(c(1:3), mdata2, xaxt="n", ylab="Expression", xlab="Time(h...
I have a data frame like this: T0h T0.25h T0.5h T1h T2h T3h T6h T12h T24h T48h C0h C0.25h C0.5h C1h C2h C3h C6h C12h C24h C48h NM_001001130 68 95 56 43 66 62 68...
*I have the following function:* /plot_mi_time = function(mdata, miname) { mdata2 = mdata[row.names(hakat) == miname, ] print(mdata2) xcoords <- c(1,1,2,2,3,3,4,4,5,5,6,6) plot(c(xcoords), mdata2, xaxt="n", ylab...
I have a time serie of 10 time points, including Treated and Control samples. In total my data contains 20 columns. I have grouped Treated and Control samples into 3 categories, Early, mid and late. I want to compare The...
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