similar to: axis scale issues....

Hello, I've been looking through ?phantom and ?expression and this forum for examples of how I might be able to manipulate some of the names that appear on the y-axis of the barplot below. For example, the "gw" in "ECgw" would appear as a subscript...or "qr" would be the theta symbol followed by subscript "r". My attempts haven't even come close

Dear R users aim Barplot of insect trap catches (y variable trapcatch) at one specific station (variable FiBL_Hecke) from week 1-52 ( x variable week). It works well using the function tapply (sum trapcatch per week, males and females not separated), however, I intend to separate the y variable trapcatch in males and females (variable m_w: m and w) problem I used the function "add" to

A very basic query This code plots OK the axis values are in bold but the axis labels are not. how do I get them in bold too? thanks Nevil Amos plot(c(1,1),xlim=c(0,450),ylim=c(0.7,1.4),xlab="Distance (cells) from edge of grid",ylab="Resistance distance", type="l",col="white",lwd=2,font=2,family='sans')

Hi, I'm building two graphics just changing the scale to show the graphic illusion. The first graph would be 'correct'. atend = c(410,430,450,408,408,405) names(atend) = c('Janeiro', 'Fevereiro', 'Mar?o', 'Abril', 'Maio', 'Junho') barplot(atend, las=1, xlab='Meses', ylab='N?mero de atendimentos',

Dear R users,  I hope you can help me as you have done before.  I was wondering if I can make some of the points on my graph a different colour and symbol? Some of my soil samples are enriched and I wanted them to be shown with a red triangle and the samples which are not enriched I wanted to show with a blue square. I can't seem to find a way of doing this if there is a way?  My script:  

Hi, Sibylle, since you write '"mathematically" add', does barplot(rbind(m$trapcatch, w$trapcatch)) do what you want (modulo layout details)? Hth -- Gerrit --------------------------------------------------------------------- Dr. Gerrit Eichner Mathematical Institute, Room 212 gerrit.eichner at math.uni-giessen.de Justus-Liebig-University Giessen Tel:

I have run a kruskal.test() using the by() function, which returns a list of results like the following (subset of results): Herb.df$ID: 4-2 Kruskal-Wallis chi-squared = 18.93, df = 7, p-value = 0.00841 -------------------------------------------------------------------- Herb.df$ID: 44-1 Kruskal-Wallis chi-squared = 4.43, df = 6, p-value = 0.6187 So then, how do extract a vector

This code works: subset(NativeDominant.df,!ID=="37-R17") This code does not: Tree.df<-subset(NativeDominant.df,!ID==c("37-R17","37-R18","10-R1","37-R21","37-R24","R7A-R1","3-R1","37-R16")) how do i get subset() to work on a range of values? -- View this message in context:

Dear Gerrit Thanks a lot. "rbind" seems to be the right function. Unfortunately there is a shift in the x-axis (see pdf). There are 52 trapcatch values each, m and w, but m$trapcatch and w$trapcatch are shifted up to x-value 60. The follow-up lines for temp and humidity are fine. Thanks Sibylle setwd("~/Desktop/DatenLogger2017") # am Mac sks trap =

I am basically trying to append a value(vector) to one dataframe using a relational value from another dataframe. Obviously, I can use a loop to accomplish this. However, is there a way to vectorize it? Example: > data <- data.frame(c(1,1,1,2,2,2,3,3,3),rep(2,9)); names(data) <- > c("Sample","Score") > meta <-

I have a dataset I need to sort: test.df<-data.frame(Zone=c("Floodplain", "Lake", "Shoreline"),Cover=c(50,60,70)) However, I don't want it sorted ascending/descending but in an order that I define via a vector: sort.v<-data.frame(c("Lake","Shoreline","Floodplain")) I realize I could probably just create the vector of

I have a dataset. Initially, it has 25 levels for a certain factor, Description. However, I then subset it, because I am only interested in 2 of the 25 factors. When I subset it, I get the following. The vector lists only the two factors, yet there remain 25 levels: > Quadrats.df$Description [1] Emergent 25x75 Emergent 25x75 Emergent 25x75 Emergent 25x75 Emergent 25x75 Emergent 25x75

I have created a list of tables with the same columns but different number of row. Example (actual list has ~200 elements): > temp1<- data.frame(ID=c("Herb","Shrub"),stat=c(4,5),pvalue=c(.03,.04)) > temp2<- data.frame(ID=c("Herb","Shrub", > "Tree"),stat=c(12,15,13),pvalue=c(.2,0.4,.3)) > L<-list(a=temp1,b=temp2) > L $a

#I have these data. Basically, I want to run a tapply to calculate the mean and st. err. by factor. #The problem is, I want to add a finite correction to the variance prior to calculating the standard error. #Now I know I could just do this in 3/4 steps by calculating the var, applying the correction, then calculating the StErr. #However, I am trying to learn about functions and how they work. So

I have a function (see below). This function has one object, ID. If I run the loops by themselves using a character value (ie,"VFFF1-7") instead of the function object, then the loops work fine. However, when I try to insert the character value via the function call, it doesn't work. I don't get an error, but the TotalCover.df dataframe does not update according to the loop

I am learning R, and instead of learning by rote, I am trying to better understand the language in order to improve my programming. So any "meta-information" on why the following code works would be greatly appreciated... I obtained this code to extract the first record from each of a series of vectors in a list: >example<- list(c(1,2),c(3,4),c(4,5)) [[1]] [1] 1 2 [[2]] [1] 3 4

typically, the apply family wants you to use vectors to run functions on. However, I have a function, kruskal.test, that requires 2 arguments. kruskal.test(Herb.df$Score,Herb.df$Year) This easily computes the KW ANOVA statistic for any difference across years.... However, my data has multiple sites on which KW needs to be run... here's the data: Herb.df<-

Basically I need to use the following data to calculate a squared error for each Sample based on the expected Survival for the zone. Basically, this code has Live/Dead for each sample, and I need to calculate the square error based on the Expected Mean (ie, Survival). The code looks up the expectation for each zone and applies for each sample in the zone using a loop: Data1 <-

Recently, I ran a series of Kruskal-Wallace tests [kruskal.test()] using by() to group by site Output is a list: >Herb.KW Herb.df$ID: 10-1 Kruskal-Wallis rank sum test data: Indicator_Rating by Year Kruskal-Wallis chi-squared = 15.24, df = 7, p-value = 0.03302 ----------------------------------------------------------------------------------------------------- Herb.df$ID: 18-1

I am receiving this error randomly when using smbclient to access pc shares : FINDFIRST gave ERRSRV - (Non-specific error code.) I use smbclient with Amanda to backup pc shares. For amanda to work, it uses smbclient to recursively scan through the entire directory tree and get total MB size of each directory. The problem is that when trying to enter some directories it gives the above error and