similar to: Plotting graph for Missing values

Hi, I have a dataset in which there are in all 250 variables and for each variable the data is entered over the months. I need to calculate the percentage of missing values for each variable over each month and then plot a graph for that. I am running the following code for doing the same *ds <- read.csv(file="filepath", header=TRUE) attach(ds) may <-

I am facing a problem in merging two datasets. I have given codes to the names which are common in both the datasets and also to those which are uncommon. When I gave gave the following command merge(df1,df2) only those rows and columns were merged which were having common codes. When I viewed the results, only common codes are seen and the remaining entries are not seen. Can anyone guide me

Hi, I am running Ubuntu on my Windows OS through VMware. I am trying to install R in Ubuntu, but not getting with those commands, which are there on the site. Can anyone please tell me how to install it, stepwise, with commands to be used. As I m new to Ubuntu as well, I am not aware of the commands very well. Thanks, Shreyasee [[alternative HTML version deleted]]

Hi, I want to create a new vignette and include it in an already existing package. That package has already many vignettes which are related to the chapters from the book on which the package is built. It would be a great help if anyone could help to understand how to create vignette for a statistical test like Chi-Square test. Thanks, Shreyasee [[alternative HTML version deleted]]

Hi Anupam, Haven't heard from you in a long time. Perhaps you want something like this: at_df<-read.table(text= "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current Bank_Savings Bank_NA $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 $75 4 1.71 28.90 35.65 33.74

Hello, I want to plot the following kind of data (percentage of respondents from a survey) that varies by Income into many small *line* graphs in a panel of graphs. I want to omit "No Answer" categories. I want to see how each one of the categories (percentages), "None", " Equity", etc. varies by Income. How can I do this? How to organize the data well and how to

Hi, I'm new to R and I've run into a problem that I'm not really sure how to express properly in the language. I've got a data table that I've read from a file containing some simple information about the performance of 4 algorithms. The columns are the name of the algorithm, the problem instance and the resulting score on that problem (if it wasn't solved I mark that

Hi, I searched a lot on the internet but was unable to find the function for calculating the kappa statistics for intra-observer reliabilty. Can anybody help me in the this regards. Thanks, Shreyasee [[alternative HTML version deleted]]

Dear All, I have a csv file which has total 510 records and 15 variables. I am trying to write a code which will return me for each record which variable is missing. For e.g. If for record 1, variables 8 & 9 are missing, the R code should return me that. In similar way I need to find the missing variables for each record. It would be a great help if anybody can explain me how should I

Reposting the data did not help. We do not like to guess, and doing so takes a great deal of time that is likely wasted. Rows are observations. Columns are variables. In Excel, the first row will be variable names and all subsequent rows will be observations. Income is the first variable. It has seven states: $10, $25, $40, $75, >$75, "No", "Answer" MF is the second

Thanks, Pikal and Jim. Yes, it has been a long time Jim. I hope you have been well. Pikal, thanks. Your solution may be close to what I want. I did not know that I was posting in HTML. I just copied the data from Excel and posted in the email in Gmail. The data is still in Excel, because I have not yet figured out what is a good way to organize it in R. I am posting it again below as text. These

Okay. Here is a modification that does four single line plots. at_df<-read.table(text= "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current Bank_Savings Bank_NA $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 $75 4 1.71 28.90 35.65 33.74 62.17 24.61 11.48 1.746

I have this assignment to do and after ten hours of constant trying my eyes ache and i give up.. all i'm able to get is this plot please help me these are the commands i have used till now read.table(file.choose(), sep=";", header=T) read.table(file.choose(), sep=";", header=T)->areas melt(areas,id=c("Year","State"),m=c("Rice"))->

I have data on area under cultivation of a crops for 17 states..I need a scatter plot to be made for the following assignment Read the data file /Data/ep602/areas.csv, and make a scatter plot that displays area under rice in 1960s on the x axis, and percentage change in area under rice between 1960 and 1990 on the y axis. Let origin of the plot be at (50 per cent of area of rice in India as a

Anupa, I think your best bet with your data would be to tidy it up in Excel, read it into R using something like the readxl package and then supply some sample data is the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need. Just do dput(mydata) where *mydata* is your data. Copy the output and paste it here. On Thu, 29 Jun 2023

Hello, I am having a dataset in which the values range from 0 - 700000. When I tried to plot a scatterplot using following command plot(x,y) I got the plot where the x-axis and y-axis were displayed as 0e+00, 1e+05, 2e+05, ....... I saw the dataset, but there is no erroneous value. Can anybody guide me on this? Thanks, Shreyasee [[alternative HTML version deleted]]

Hi John: Thanks! Below is the data using your suggestion. I used "ggplot" to make a graph. I am not too happy with it. I am looking for something simpler and cleaner. Plot is attached. I also tried "lattice" package, but nothing got plotted with "xyplot" command, because it is looking for a numeric variable on x-axis. ggplot(TrialData4, aes(x=Income, y=Percent,

Hi Say I have some data, two columns in a table being a binary outcome plus a predictor and I want to plot a graph that shows the percentage positives of the binary outcome within bands of the predictor, e.g. Outcome predictor 0 1 1 2 1 2 0 3 0 3 0

Btw, I think "lattice" graphics will provide a better solution than "ggplot", because it puts appropriate (space saving) markers on the axes and does axes labels well. However, I cannot figure out how to do it in "lattice". On Thu, 6 Jul 2023 at 15:11, Anupam Tyagi <anuptyagi at gmail.com> wrote: > Hi John: > > Thanks! Below is the data using your

Hello R lovers I have written a little cute function to count the number of missing value per row in a matrix and return the percentage of missing value it takes a lot of time to run with a 1000 rows matrix I'd like to know if there is a function already implemented to count the number of occurence of a given values in a vector For information, here is the function count<-0 for (i in