[R] Boxplot Labels solved

- From: Jose Iparraguirre Sent: Wednesday, April 10, 2013 10:19 AM To: Beatriz González Domínguez ; r-help-ow...@r-project.org ; R Help 1 ; R Help 2 Subject: RE: [R] Boxplot Labels OK Beatriz, In this case, use the car package and run the following: bp - Boxplot(DATA$ave, data= DATA, main

[R] Boxplot Labels

#Dear all, #Could anyone help me with the following? #DATA num - as.numeric(seq(100:125)) ave - c(0.5, 1, 1.6, 2, 2, 2.3, 2.5, 2.4, 3, 3.2, 3.3, 4, 4.8, 3.5, 2.7, 3.1, 2.8, 3.5, 4.1, 2.0, 2.5, 2.1, 3.4, 2.5, 2.6, 7) DATA - data.frame(cbind(num, ave)) rm(num, ave) #BOXPLOT x11() bp -

[R] Boxplot Labels

#Dear all, #Could anyone help me with the following? #DATA num - as.numeric(seq(100:125)) ave - c(0.5, 1, 1.6, 2, 2, 2.3, 2.5, 2.4, 3, 3.2, 3.3, 4, 4.8, 3.5, 2.7, 3.1, 2.8, 3.5, 4.1, 2.0, 2.5, 2.1, 3.4, 2.5, 2.6, 7) DATA - data.frame(cbind(num, ave)) rm(num, ave) #BOXPLOT x11() bp -

[R] Boxplot Labels OK

Dear all, I have just sent an enquiry but probably I hadn’t expressed myself properly. Could anyone help me with the following? When I run the code on my data I get a boxplot with outliers identified by numbers 200 201. However, what I would like is to label these outliers with their

[R] Remove a row containing a specific value for a column

Dear all, Could anyone help me with the following? DATA - data.frame(rbind(c(Red1, 1, 1, 1), c(Blue1, 1, 1, 1), c(Red2, 1, 1, 1), c(Red3, 1, 1, 1))) colnames(DATA) - c(A, B,C, D) #Option 1 DATA - DATA[-2, ] #Same result I would like to achieve with Option 2 #Option 2 - I would like to do it

[R] Fw: Reversing data transformation

From: aguitatie...@hotmail.com Sent: Friday, April 05, 2013 11:47 PM To: r-help@r-project.org ; R Help Subject: Reversing data transformation Hi everybody, I would be very grateful if you could give me your thoughts on the following issue. I need to perform Box-Cox (bcPower€)

[R] Data normalization

Dear all, I’m finding difficulties to normalize this data. Could you provide some input? DATA: c(0.000103113, 0.000102948, 0.000104001, 0.000103794, 0.000104628, 9.2765e-05, 9.4296e-05, 9.5025e-05, 9.4978e-05, 9.8821e-05, 9.7586e-05, 9.6285e-05, 0.00010158, 0.000100919, 0.000103535,

[R] Reversing data transformation

Hi everybody, I would be very grateful if you could give me your thoughts on the following issue. I need to perform Box-Cox (bcPower€) transformation on my data. To do this, I calculated lambda using the function '€powerTransform'€. powerTransform(data) However, I got an error

[R] Please, problem using “bcPower”

Hello, I would like to perform a Box-Cox (“bcPower”) transformation on my data. For this, I am determining lambda using the “powerTransform” function. However, with one of my variables I get the following Warning Message: In estimateTransform(x, y, NULL, ...) : Convergence failure:

[R] powerTransform Warning Message

Hello, I would like to perform a Box-Cox (“bcPower”) transformation on my data. For this, I am determining lambda using the “powerTransform” function. However, with one of my variables I get the following Warning Message: In estimateTransform(x, y, NULL, ...) : Convergence failure:

[R] Regression line does not show on scatterplot

Hello, I have done a scatterplot and now would like to add its regression line but it does not show. Below, the code I have used. lm3 - lm(data$S_pH_KCl2.5_BCx~data$B_OleicoPF_BCx_per) plot(data$S_pH_KCl2.5_BCx, data$B_OleicoPF_BCx_per) abline(lm3) I have been able to do the complete