I'm new to R.
I want to add both descriptive statistics and a histogram to a pdf.
The following code successfully generates two histograms using ggplot2. But the describe (from psych package) functions do not appear in the pdf.
How do I include both?
library(psych)
library(foreign)
library(nnet)
library(ggplot2)
library(reshape2)
# direct output to a file
sink("C:\\Users\\jake\\Dropbox\\__iKoda\\datafiles\\OutputR.txt", append=FALSE, split=TRUE)
gc()
memory.limit()
options(max.print=1000000)
results <- read.csv("C:\\Users\\jake\\Dropbox\\__iKoda\\datafiles\\results.csv")
pdf(file="C:\\Users\\jake\\Dropbox\\__iKoda\\datafiles\\plots.pdf")
timesTrimmedComplete=processITStimes(results,"TSICompleted")
print(describe(timesTrimmedComplete$totaltimemins) )
freq=generateQplot(timesTrimmedComplete$totaltimemins,"histogram", 1)
print(freq)
timesTrimmedINComplete=processITStimes(results,"_TSIIncomplete")
print(describe(timesTrimmedINComplete$totaltimemins))
freq1=generateQplot(timesTrimmedINComplete$totaltimemins,"histogram", 1)
print(freq1)
dev.off()
########################################################################################
generateQplot<-function(dataVector, plotType, binWidthValue)
{
freq=qplot(dataVector,geom=plotType, binwidth=binWidthValue)
return(freq)
}
processITStimes<-function(resultsData, statusCode)
{
completeResults <- resultsData[grep(statusCode, resultsData$Final_Status), ]
times <- completeResults[, grep("*duration*", colnames(completeResults))]
times[is.na(times)] <- 0
times$totaltime <- rowSums( times[,2:ncol(times)] )
times$totaltimemins <-round(times$totaltime/60, digits=0)
times$rowId<-completeResults$RowId
print(statusCode);
print(describe(times$totaltimemins) )
timesTrimmed<-times[times$totaltimemins<60,]
return(timesTrimmed)
}
sink()
If you're making ggplots, you can always use ggsave(). So you'd do
ggsave(plot = freq1, filename = "freq1.pdf", device = "pdf")
You can also specify how large to make the plot (height/width/units), etc.
Related
I am relatively new to R, and it seems that, despite my loops working properly otherwise, I am unable to iterate trough a list to create pdf:
For instance this code
(Variables & libraries:)
Libraries
library(Seurat)
The different markers are lists of chain of characters like DenditicCells:
DendriticCells <- c("Kmo", "Flt3", "Ccr7", "Ccl17", "Irf8","Xcr1","Cd209")
Markers <- list(Neurons, Oligo, OPC, AstroPro, Astro, OligoPro, Pericytes, ImmuneCells, GeneOfInterest, Lymphatics, Vein, Arteries, cappilaries, Microglial, Macrophages, ThCells, Tcells, Bcells, Granulocytes, DendriticCells, CPMicrogenes, TNK, migDCs )
Markers <- setNames(Markers, c("Neurons", "Oligo", "OPC", "AstroPro", "Astro", "OligoPro", "Pericytes", "ImmuneCells", "GeneOfInterest", "Lymphatics", "Vein", "Arteries", "cappilaries", "Microglial", "Macrophages", "ThCells", "Tcells", "Bcells", "Granulocytes", "DendriticCells", "CPMicrogenes", "TNK", "migDCs" ))
Code
pdf(paste0("Run5/DotPlot6", names(Markers[x]),"Subset4.jpeg"))
DotPlot(Subset4, assay = "SCT" ,features =Markers[[x]], dot.scale = 8)
dev.off()
Works and creates a pdf, but this code:
Ret4 <- function(x){
pdf(paste0("Run5/DotPlot6", names(Markers[x]),"Subset4.jpeg"))
try(DotPlot(Subset4, assay = "SCT" ,features =Markers[[x]], dot.scale = 8))
dev.off()
}
for(i in 1:length(Markers))Ret4(i)
fails after a perfectly normal execution. I have tried variation using different format, lapply, map, and it does not work. I do not understand why this execution fails...
How can i iterate through this? In this case, Markers is a list of list of 24 elements.
Thanks a lot
Jean
solution:
Ret5 <- function(x, Markers, Subset, nameSubset){ p <- DotPlot(Subset, assay = "SCT" ,features =Markers[[x]], dot.scale = 8)
png(paste("Run5/Subset/", as.character(x),names(Markers[[x]]),".jpeg", sep = ""))
print(p)
dev.off() }
for(x in c(1:length(Markers))){ Ret5(x, Markers, Subset1, "Subset1")}
I'm trying to optimize the parameters for baseline in the R baseline package by changing each parameters in a loop and comparing plots to determine which parameters give me the best baseline.
I currently have the code written so that the loop produces each plot, but I'm having trouble with getting the plot saved as the class of each object I'm creating is a baseline package-specific (which I'm suspecting is the problem here).
foo <- data.frame(Date=seq.Date(as.Date("1957-01-01"), by = "day",
length.out = ncol(milk$spectra)),
Visits=milk$spectra[1,],
Old_baseline_visits=milk$spectra[1,], row.names = NULL)
foo.t <- t(foo$Visits)
#the lines above were copied from https://stackoverflow.com/questions/37346967/r-packagebaseline-application-to-sample-dataset to make a reproducible dataset
df <- expand.grid(lambda=seq(1,10,1), p=seq(0.01,0.1,0.01))
baselinediff <- list()
for(i in 1:nrow(df)){
thislambda <- df[i,]$lambda
thisp <- df[i,]$p
thisplot <- baseline(foo.t, lambda=thislambda, p=thisp, maxit=20, method='als')
print(paste0("lambda = ", thislambda))
print(paste0("p = ", thisp))
print(paste0("index = ", i))
baselinediff[[i]] <- plot(thisplot)
jpeg(file = paste(baselinediff[[i]], '.jpeg', sep = ''))
dev.off()
}
I know that I would be able to extract corrected spectra using baseline.als but I just want to save the plot images with the red baseline so that I can see how well the baselines are getting drawn. Any baseline users out there that can help?
I suggest you change your loop in the following way:
for(i in 1:nrow(df)){
thislambda <- df[i,]$lambda
thisp <- df[i,]$p
thisplot <- baseline(foo.t, lambda=thislambda, p=thisp, maxit=20, method='als')
print(paste0("lambda = ", thislambda))
print(paste0("p = ", thisp))
print(paste0("index = ", i))
baselinediff[[i]] <- thisplot
jpeg(file = paste('baseline', i, '.jpeg', sep = ''))
plot(baselinediff[[i]])
dev.off()
}
Note that this does not try to capture the already plotted element (thisplot) inside of the list. Instead, the plotting is done after you call the jpeg command. This solves your export issue. Another problem was the naming of the file. If you call baselinediff[[i]] inside of paste, you apparently end up with an error. So I switched it to a simpler name. To plot your resulting list, call:
lapply(baselinediff, plot)
If you are determined on storing the already plotted element, the capture.plotfunction from the imager package might be a good start.
This is final output I got, I'm supposed to get the final output as a single file with two bands:
Following is the code which I am using:
A11 <-brick("E:/Official/PROJECTS/R_Progrm/1.tif") // to read multiband image
B11<-brick("E:/Official/PROJECTS/R_Progrm/3.tif") // To read multiband image
mos1 <- mosaic(A11,B11,fun=max,tolerance=0.5,
filename="Mosaic_new",overwrite=TRUE)
plot(mos1,main="Mosaic_new1")
writeRaster(x=mos1,file="E:/Official/PROJECTS/R_Progrm/M11.tif",options="INTERLEAVE=BAND",format="GTiff",datatype="FLT8S",overwrite=TRUE)
The plot that you have shown in your question, is showing both the bands of your output image. So, there should not be any problem with your code and its output. If the problem is related to visualizing all the bands as an RGB Image, then you have to modify the parameters of plot function that means you have to provide the band combination. For example:
plotRGB(a, r = 4, g = 3, b = 2, axes=TRUE, main="3 Band Color Composite Image")
box(col="white")
Also, you can try the code given below which is working fine for me, and I hope it will resolve your problem.
a <- stack("Path to first raster")
b <- stack("Path to second raster")
rast.list <- list(a,b)
rast.list$fun <- mean
rast.mosaic <- do.call(mosaic,rast.list)
plot(rast.mosaic)
writeRaster(rast.mosaic,"Output_Raster_Name",format="GTiff",overwrite=TRUE)
rm(list = ls())
gc()
memory.limit(size= 2000)
library(rgdal)
library(raster)
install.packages("gdalUtils")
library(gdalUtils)
library(sp)
setwd("E:/Official/PROJECTS/R_Progrm/MOs/")
list.files()
file1=file.path(getwd(), "", "1.tif")
gdal_setInstallation()
valid_install <- !is.null(getOption("gdalUtils_gdalPath"))
if(require(raster) && require(rgdal) && valid_install)
{
layer1 <- file.path(getwd(), "", "1.tif")
layer2 <- file.path(getwd(), "", "3.tif")
file_list=c(layer1,layer2)
mosaic_rasters(gdalfile=file_list,dst_dataset="E:/Official/PROJECTS/R_Progrm/MOs//test_mosaic.GTiff",separate=TRUE,of="GTiff",verbose=TRUE)
gdalinfo("test_mosaic.GTiff")
}
I am using the R package msa, a core Bioconductor package, for multiple sequence alignment. Within msa, I am using the MUSCLE alignment algorithm to align protein sequences.
library(msa)
myalign <- msa("test.fa", method=c("Muscle"), type="protein",verbose=FALSE)
The test.fa file is a standard fasta as follows (truncated, for brevity):
>sp|P31749|AKT1_HUMAN_RAC
MSDVAIVKEGWLHKRGEYIKTWRPRYFLL
>sp|P31799|AKT1_HUMAN_RAC
MSVVAIVKEGWLHKRGEYIKTWRFLL
When I run the code on the file, I get:
MUSCLE 3.8.31
Call:
msa("test.fa", method = c("Muscle"), type = "protein", verbose = FALSE)
MsaAAMultipleAlignment with 2 rows and 480 columns
aln
[1] MSDVAIVKEGWLHKRGEYIKTWRPRYFLL
[2] MSVVAIVKEGWLHKRGEYIKTWR---FLL
Con MS?VAIVKEGWLHKRGEYIKTWR???FLL
As you can see, a very reasonable alignment.
I want to write the gapped alignment, preferably without the consensus sequence (e.g., Con row), to a fasta file. So, I want:
>sp|P31749|AKT1_HUMAN_RAC
MSDVAIVKEGWLHKRGEYIKTWRPRYFLL
>sp|P31799|AKT1_HUMAN_RAC
MSVVAIVKEGWLHKRGEYIKTWR---FLL
I checked the msa help, and the package does not seem to have a built in method for writing out to any file type, fasta or otherwise.
The seqinr package looks somewhat promising, because maybe it could read this output as an msf format, albeit a weird one. However, seqinr seems to need a file read in as a starting point. I can't even save this using write(myalign, ...).
I wrote a function:
alignment2Fasta <- function(alignment, filename) {
sink(filename)
n <- length(rownames(alignment))
for(i in seq(1, n)) {
cat(paste0('>', rownames(alignment)[i]))
cat('\n')
the.sequence <- toString(unmasked(alignment)[[i]])
cat(the.sequence)
cat('\n')
}
sink(NULL)
}
Usage:
mySeqs <- readAAStringSet('test.fa')
myAlignment <- msa(mySeqs)
alignment2Fasta(myAlignment, 'out.fasta')
I think you ought to follow the examples in the help pages that show input with a specific read function first, then work with the alignment:
mySeqs <- readAAStringSet("test.fa")
myAlignment <- msa(mySeqs)
Then the rownames function will deliver the sequence names:
rownames(myAlignment)
[1] "sp|P31749|AKT1_HUMAN_RAC" "sp|P31799|AKT1_HUMAN_RAC"
(Not what you asked for but possibly useful in the future.) Then if you execute:
detail(myAlignment) #function actually in Biostrings
.... you get a text file in interactive mode that you can save
2 29
sp|P31749|AKT1_HUMAN_RAC MSDVAIVKEG WLHKRGEYIK TWRPRYFLL
sp|P31799|AKT1_HUMAN_RAC MSVVAIVKEG WLHKRGEYIK TWR---FLL
If you wnat to try hacking a function for which you can get a file written in code, then look at the Biostrings detail function code that is being used
> showMethods( f= 'detail')
Function: detail (package Biostrings)
x="ANY"
x="MsaAAMultipleAlignment"
(inherited from: x="MultipleAlignment")
x="MultipleAlignment"
showMethods( f= 'detail', classes='MultipleAlignment', includeDefs=TRUE)
Function: detail (package Biostrings)
x="MultipleAlignment"
function (x, ...)
{
.local <- function (x, invertColMask = FALSE, hideMaskedCols = TRUE)
{
FH <- tempfile(pattern = "tmpFile", tmpdir = tempdir())
.write.MultAlign(x, FH, invertColMask = invertColMask,
showRowNames = TRUE, hideMaskedCols = hideMaskedCols)
file.show(FH)
}
.local(x, ...)
}
You may use export.fasta function from bio2mds library.
# reading of the multiple sequence alignment of human GPCRS in FASTA format:
aln <- import.fasta(system.file("msa/human_gpcr.fa", package = "bios2mds"))
export.fasta(aln)
You can convert your msa alignment first ("AAStringSet") into an "align" object first, and then export as fasta as follows:
library(msa)
library(bios2mds)
mysequences <-readAAStringSet("test.fa")
alignCW <- msa(mysequences)
#https://rdrr.io/bioc/msa/man/msaConvert.html
alignCW_as_align <- msaConvert(alignCW, "bios2mds::align")
export.fasta(alignCW_as_align, outfile = "test_alignment.fa", ncol = 60, open = "w")
I've created a for loop that outputs several plots (via ggplot2) from R into a single .tex file using the tikzDevice package. This makes it easier to include multiple diagrams from within a latex document using a single command that points to the .tex file outputted from R (say 'diagrams.tex'): \include{diagrams}.
However, I would also like to wrap each tikzpicture with the \begin{figure} environment, so that I can insert two additional lines into each respective figure: \caption{} and \label{}.
Question: is there a way to include the figure wrapper, caption, and label latex commands directly, for each respective ggplot image (from my R loop), in the outputted .tex file?
Here is reproducible R code that generates a file 'diagrams.tex' containing 3 ggplots:
require(ggplot2)
require(tikzDevice)
## Load example data frame
A1 = as.data.frame(rbind(c(4.0,1.5,6.1),
c(4.0,5.2,3.5),
c(4.0,3.4,4.3),
c(4.0,8.2,7.3),
c(4.0,2.9,6.3),
c(6.0,3.9,6.6),
c(6.0,1.5,6.1),
c(6.0,2.7,5.3),
c(6.0,2.9,7.4),
c(6.0,3.7,6.0),
c(8.0,3.9,4.2),
c(8.0,4.1,3.5),
c(8.0,3.7,5.8),
c(8.0,2.5,7.5),
c(8.0,4.1,3.5)))
names(A1) = c("state","rmaxpay","urate")
i = 2
## name output file
tikz( 'diagrams.tex' )
for (i in 2:4){ #begin LOOP
st = i*2
df = NULL
df = subset(A1, state == st , select = c(2:3))
print( # start print
ggplot(df, aes(rmaxpay,urate)) + geom_point()
) # end print
} #end LOOP
dev.off()
There may be a way to do this with plot hooks but as it is you can do it by using the console option and sink():
require(ggplot2)
require(tikzDevice)
## Load example data frame
A1 = as.data.frame(rbind(c(4.0,1.5,6.1),
c(4.0,5.2,3.5),
c(4.0,3.4,4.3),
c(4.0,8.2,7.3),
c(4.0,2.9,6.3),
c(6.0,3.9,6.6),
c(6.0,1.5,6.1),
c(6.0,2.7,5.3),
c(6.0,2.9,7.4),
c(6.0,3.7,6.0),
c(8.0,3.9,4.2),
c(8.0,4.1,3.5),
c(8.0,3.7,5.8),
c(8.0,2.5,7.5),
c(8.0,4.1,3.5)))
names(A1) = c("state","rmaxpay","urate")
i = 2
fn <- "diagrams.tex"
if(file.exists(fn)) file.remove(fn)
for (i in 2:4){ #begin LOOP
st = i*2
df = NULL
df = subset(A1, state == st , select = c(2:3))
cat("\\begin{figure}\n", file = fn, append=TRUE)
sink(fn, append=TRUE)
tikz(console = TRUE)
print( # start print
ggplot(df, aes(rmaxpay,urate)) + geom_point()
) # end print
dev.off()
sink()
cat(paste("\\caption{figure}\\label{fig:",i,"}\n",sep=""), file = fn, append=TRUE)
cat("\\end{figure}\n", file = fn, append=TRUE)
} #end LOOP