similar to: wrong labels and colors of points in graph/plot

Hello, I'm just trying to wrap my head around the syntax for creating loops, functions in R. I have an array of values from a .csv. Looks something like header<-c(species,coefficient1, exponent1, coefficient2, exponent2, constant) with a species name for the first column, and values for coefficient1, exponent1, coefficient2, exponent2, constant for each species. The values are

Hi, I am struggling to create a 2 by 2 multiple graphs in one page. I used par(mfrow=c(2,2)) to divide the screen into 4. In each screen I draw a pie chart (They are all same). For example, my data is like this Concentration value A1 69 A2 8 G1 51 G2 1

Hi, I want to produce a pie chart with titles. I used the following code. So it created a pie chart for the percentage of the score for ID="002". ID <- c("001","001","002","002","002","003","003","003","004","004","005","005","006") test <-

Hi there, I've got a database or rather spreadsheet with several columns and rows. For one column named sites I want to loop through all possible values and retrieve all data out of the database where site = x and write it into an object named 'sitex_data'. Somehow I'm really missing something as I'm not able to create these sitex_data objects with the database values,

Hi, I want to draw a pie chart of level (variable) for each ID (variable). I have a big dataset, here I attach part of it. ID level 1 G1 1 A1 1 A1 1 G1 1 G1 1 G1 1 A1 1 A1 1 G1 1 G1 1 G3 1 A1 1 G1 1 A1 1 A1 1 A2 1 A2 1 M 1 A1 1 G1 1 A1 1 1 1 A2 1 G3 1 A1 1 A1 1 A1 Below is my r code: level <- na.exclude(level) level.table <- table(level) level.sum <-

Hi, I am struggling to create a 2 by 2 multiple graphs in one page. I used par(mfrow=c(2,2)) to divide the screen into 4. In each screen I draw a pie chart (They are all same). For example, my data is like this Concentration value A1 69 A2 8 G1 51 G2 1

Hi, how do I create a string of the comma-separated content of a vector? I've got the vector i with several numeric values as content: >str(i) num 99 and want to create a SQL statement to look like the following where the part '(2, 4, 6, 7)' should be the content of the vector i: select * from [biomass_data$] where site_no in (2, 4, 6, 7) Here my approach (which doesn't

Hi Dataframe fdf contains bin rate overlay 1 1 90 Assign First/cc _from_SN_53 RNC_20_to_SN_50 RNC_21_Success Rate 2 2 93 Assign First/cc _from_SN_53 RNC_20_to_SN_50 RNC_21_Success Rate 3 1 90 Assign First/cc _from_SN_50 RNC_21_to_SN_53 RNC_20_Success Rate 4 2 94 Assign First/cc _from_SN_50 RNC_21_to_SN_53

Hi Dataframe fdf contains bin rate overlay 1 1 90 Assign First/cc _from_SN_53 RNC_20_to_SN_50 RNC_21_Success Rate 2 2 93 Assign First/cc _from_SN_53 RNC_20_to_SN_50 RNC_21_Success Rate 3 1 90 Assign First/cc _from_SN_50 RNC_21_to_SN_53 RNC_20_Success Rate 4 2 94 Assign First/cc _from_SN_50 RNC_21_to_SN_53

note: whole function is below- I am sure I am doing something silly. when I use it like USGS(input="precipitation") it is choking on the precip.1 <- subset(DF, precipitation!="NA") b <- ddply(precip.1$precipitation, .(precip.1$gauge_name), cumsum) DF.precip <- precip.1 DF.precip$precipitation <- b$.data part, but runs fine outside of the function: days=7

Hi everyone, is it possible to write a certain value beside a point in a plot? I'm plotting the following: plot(coefficient$intercept ~ coefficient$average_BM_leaves_needles, main="intercepts ::: BM_leaves_needles", ylab="intercepts", xlab="average BM_leaves_needles per site [kg]") and I want to have the value of coefficient$site_no written beside each

I am working with data from the USGS with data every 30 minutes from 4/27/2011 to 8/25/2011. I am having trouble with setting the frequency. My R script is below: > shavers=read.csv("shavers.csv") > names(shavers) [1] "agency_cd" "site_no" "datetime" "tz_cd" "Temp" [6] "X04_00010_cd"

Df contains Session_Setup DCT RevDataVols_bin counts comp 1 Session_Setup RLL 1 NA Session_Setup+RLL+1 2 Session_Setup RLL 2 NA Session_Setup+RLL+2 3 Session_Setup RLL 3 NA Session_Setup+RLL+3 4 Session_Setup RLL 4 NA Session_Setup+RLL+4 5 Session_Setup RLL 5

Look at the bottom of the message for my question #here is a little function that I wrote USGS <- function(input="discharge", days=7){ library(chron) library(gsubfn) #021973269 is the Waynesboro Gauge on the Savannah River Proper (SRS) #02102908 is the Flat Creek Gauge (ftbrfcms) #02133500 is the Drowning Creek (ftbrbmcm) #02341800 is the Upatoi Creek Near Columbus (ftbn) #02342500 is

Hi, I am trying to add additional columns to a forest plot using the meta package. The study information and subgroup analysis plotting is handled properly. For this output the data is ordered first by subgroup label (rnd.subgroup1 in the example) and second decreasing size of totals ('n' in the example). The proper ordering of this data is confirmed by the color coding (black and red in

I am getting the following erro rmessage in ordistep. I have a number of similarly structured datasets using ordistep in a loop, and the message only occurs for some of the datasets. I cannot include a reproducible sample - the specific datasets where this is occur ing are fairly large and there are several pcnm's in the rhs of the formula. thanks for any pointers that may allow me to

I am getting the following erro rmessage in ordistep. I have a number of similarly structured datasets using ordistep in a loop, and the message only occurs for some of the datasets. I cannot include a reproducible sample - the specific datasets where this is occur ing are fairly large and there are several pcnm's in the rhs of the formula. thanks for any pointers that may allow me to