similar to: Sum of specific column

Hi all I have a multiple datasets that look like this MM Freq 1 30 2 35 3 54 4 33 5 27 6 13 7 25 8 29 9 40 10 32 11 36 12 23 I am plotting this using barchart (there is probably something better but it gives me the results I want) and I would like the x-axis to have the names of the months instead of the month numbers. So I have

I am using barchart to make charts for some data with a lot more functions and labels and such in the command. barchart(Freq ~ factor(HH), data = dataset1, group= year) So I have my data grouped by year and I get a legend at the top of graph, which is great cause I need the legend for the different years but it is a weird spot. So how can I manipulate the legend, ie. Move it, shrink it, do

Hi everyone I am using barchart to make my graphs. Here is my code. barchart(percent_below ~ factor(Year)| factor(Season, levels=unique(Season)), data= .season_occurrence, origin = 0, layout = c(4, 1), scales=list(tick.number=ticknum,labels=NULL), ylim=c(0, ymax), group = factor(Year), xlab= "Year", auto.key = list(points = FALSE, rectangles =

I need help with replacing NaN with zero (the value '0') in my dataset. The reason is that I can't get it to graph because of the NaN in the dataset. I have tried: data[is.nan(data)] <- 0 that others have suggested in the help archives but this does nothing so I am not sure what I am doing wrong. Thanks in advance for your help. [[alternative HTML version deleted]]

Hi all I have a bit of a problem. I want to make a barplot of some data. My data is of a score that is separated by year and by a limit (above 3 and below 3 to calculate the score). Year Limit HSS 1999 ALT 0.675 1999 VFR 0.521 2000 ALT 0.264 2000 VFR 0.295 I would like to have a barplot with year on the x axis and HSS on the y axis and the two limits as two different colors to show the

Hello R users I have a dataset that has different types of records with different dates and times pertaining to each. I would like to have a bar graph of a count of the types(ie. The number of types) of recods by hour grouped by year. So the count of the types would be the y axis, the hour on the x axis and then grouped by year for easy comparison. I think that I have to use barchart however I

Hi all I can't find what I am looking for so I am asking here. I have a dataset that looks something like this. Year season percent_below 2000 Winter 6.9179870 2000 Spring 1.6829436 2000 Summer 1.8463501 2000 Autumn 3.8184993 2001 Winter 2.8832806 2001 Spring 2.5870511 2001 Summer 0.0000000 2001 Autumn 4.7248240 2002 Winter

Hi everyone I need help with subseting a data set. In my dataset there is a specific row that will either have a value or be blank. I would like to subset (or split) the dataset into one dataset with the row that has the value and another dataset that has just the blanks. Now the thing is that the row that has the value in it, the value is not always the same, it is a time stamp of when

I would like to know how I can assign a name to a name. I have a dataset that has different years in it. I am writing scripts using R and I would like to give a month a generic name and then use the generic name to do different analysis. The reason for the generic name would be so that I only have to change one thing if I wanted to change the year. For example. Year1 = 1999 datayear <-

Dear R users, I??ve got a simple question but somehow I can??t find the solution: I have a data frame with columns 1-5 containing one set of integer values, and columns 6-10 containing another set of integer values. Columns 6-10 contain NA??s at some places. I now want to calculate (1) the number of values in each row of columns 6-10 that were NA??s (2) the sum of all values on columns 1-5

Hi: Can anyone advice me on how to loop and perform a calculation through all the columns. here's my data xd<- c(2.2024,2.4216,1.4672,1.4817,1.4957,1.4431,1.5676) pd<- c(0.017046,0.018504,0.012157,0.012253,0.012348,0.011997,0.012825) td<- c(160524,163565,143973,111956,89677,95269,81558) mydf<-data.frame(xd,pd,td) trans<-t(mydf) trans I have these values that I need to

I am new to R, can anyone help with boxplot for a dataset like: file1 col1 col2 col3 col4 col5 050350005 101 56.625 48.318 RED 051010002 106 50.625 46.990 GREEN 051190007 25 65.875 74.545 BLUE 051191002 246 52.875 57.070 RED 220050004 55 70 80.274 BLUE 220150008 75 67.750 62.749 RED 220170001 77 65.750 54.307 GREEN file2 col1 col2 col3 col4 col5 050350005 101 56.625 57 RED 051010002 106 50.625 77

Hi I am very new to R and have not able to find the answer to my question in the manual or any other post. I have a dataset that has various different sites names with data relating to each site. The data is in one dataset. I want to loop through the different site names and perform my test on each site. The sites are named not numbers for example "YYC". How do I do this. I hope I

Hello R users -- If I have a dataframe such as the following, named "frame" with the columns intended to be named col1 through col6, > frame col1 col2 cmlo3 col4 col5 col6 [1,] 3 10 2 6 5 7 [2,] 6 8 4 10 7 1 [3,] 7 5 1 3 1 8 [4,] 10 6 5 4 9 2 and I want to correct or otherwise change the

Greetings R-users, I have the following data called mydata in a data.frame Col1 Col2 Col3 Col4 Col5 1 2 4 6 7 8 8 7 3 5 4 4 5 6 7 I want to replace the data according to the following conditions Condition 1 if data <= 3, replace with -1 Condition 2 if data >=6, replace with 1 Condition 3 if data = 4 or data =5, replace with 0

I'm new to R. I'm extracting important columns from single table using following code: File2<-"file.txt" table2<- read.delim(File2, skip=19, sep=";", header=F, na.strings=NA, fill=T) #extracting column 7 where rows match "ID" col1<- table2[grep("ID", table2[,1]),7] #similarly extracting column 9,11,13,15 col2<-

R 2.15.1 OS X Colleagues, I am reading a 1 GB file into R using read.table. The file consists of 100 tables, each of which is headed by two lines of characters. The first of these lines is: TABLE NO. 1 The second is a list of column headers. For example: TABLE NO. 1 COL1 COL2 COL3 COL4 COL5 COL6 COL7 COL8 COL9 COL10

Hi Would anyone have any pointers on how to slice up a large zoo table. I have the following structure: - > str(ZOO_OBJ) ?zoo [1:632, 1:83] 30.4 30.4 30.4 30.4 30.3 ... ?- attr(*, "dimnames")=List of 2 ??..$ : NULL ??..$ : chr [1:83] "COL1" "COL2" "COL3" "COL4" ... ?- attr(*, "index")= POSIXct[1:632], format: "2009-05-01

Greetings! I am just now learning to use R for my dissertation project. I need to manipulate a lot of text and numeric data. I created a data frame that has 7 columns and 127 unique rows. Now I need to replicate each line 6 times and then later change values in the first 2 columns. I am trying to figure out how to accomplish this. I think that I need to use rep(my.df, each=6) but it does

Hello, colnames seems to be not optimized well for data.frame. It escapes processing for data.frame in if (is.data.frame(x) && do.NULL) return(names(x)) but only when do.NULL true. This makes huge difference when do.NULL false. Minimal edit to `colnames`: if (is.data.frame(x)) { nm <- names(x) if (do.NULL || !is.null(nm)) return(nm) else