read.delim() function reads a file into list. 62 3.69 3.19 20 1 0 4 2 However, this remains strange that is doesn't work with 2.15 although it is supposed to work (afaik).Can anybody explain why R cannot read a certain file?This was one of the commands: read.table (G:\\totalnetwork.txt , header = TRUE) The error comes up: Error in file(file, "rt") : cannot open the connectionIn addition: Warning message:In file(file, "rt") : cannot open file 'G:\totalnetwork_FR.txt': No such file or directoryHow can I increase memory size and memory limit in R?I want to increase my R memory.size and memory.limit. Does anyone have a good way of doing this?R Programming being used to clean data for Big Mart Sales Prediction.Function ‘Sensitivity’ calculates sensitivity, specificity and efficiency for each haplotype and Function ‘Starplot’ draws sensitivity, specificity or R-square-values for each haplotype (R-programs) Therefore, you do not have to alter any encoding.A simple example of Encoding() not working......:(([1] "unknown" "unknown" "unknown" "unknown" "unknown"Encoding(a1) <- "UTF-8" ### it should work[1] "unknown" "unknown" "unknown" "unknown" "unknown" ### not workingNo, Costas, the screenshot shows that I was NOT able to read the file properly! #> 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 is updated every 50,000 values and will only display if estimated reading
This is more general than Does the file escape quotes by doubling them? #> 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 character represents one column:

quoted_na = TRUE, quote = "\"", comment = "", trim_ws = TRUE, as grouping mark.

is updated every 50,000 values and will only display if estimated reading #> 22.8 4 141. The reading stopped when R encountered the "gamma"-character, the returned data.frame is incomplete.Sorry, my mistake. My major concern is that importing large amount of data from excel file takes more time as i have data in only the first two columns. 95 3.92 3.15 22.9 1 0 4 2 It's mean that x axis has to be ordered like: Genotype 2, Genotype 3, Genotype 1df <- data.frame("Swelling" = c("Swelling 1","Swelling 2", "Swelling 3","Swelling 3", "Swelling 2","Swelling 1","Swelling 3","Swelling 1","Swelling 1", "Swelling 3","Swelling 1", "Swelling 2", "Swelling 1","Swelling 2", "Swelling 3","Swelling 3", "Swelling 2","Swelling 1","Swelling 3","Swelling 1","Swelling 1", "Swelling 3","Swelling 1", "Swelling 2","Swelling 3","Swelling 1", "Swelling 2" ), "Genotype" = c("Genotype 1","Genotype 2", "Genotype 3", "Genotype 1","Genotype 2", "Genotype 3","Genotype 1","Genotype 2", "Genotype 3","Genotype 1","Genotype 2", "Genotype 3", "Genotype 1","Genotype 2", "Genotype 3","Genotype 1","Genotype 2", "Genotype 3","Genotype 1","Genotype 2", "Genotype 3", "Genotype 1","Genotype 2", "Genotype 3","Genotype 1","Genotype 2", "Genotype 3"), "Freq" = c("1","1", "1","1", "1","1","1","1","1", "1","1", "1","1","1", "1","1", "1","1","1","1","1", "1","1", "1","1","1", "1"))### want to know frequency (%) of each Swelling depending on genotype -> do not show when frequency is 0df2<-ddply(df,. characters? 123 3.92 3.44 18.3 1 0 4 4
#> 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 Encoding() is meant to "Read or set the declared encodings for a character vector" within R workspace, not an outside file. They're useful for reading the most common types of flat file data, comma separated values and tab separated values, respectively. Saving as CSV in Excel seems to remove the Unicode characters already.I created a small sample file (unicode text, tab delimited). read_csv() and read_tsv() are special cases of the general read_delim(). My German is rather non existing.x1<-read.table("D:/DataUnicode.txt", header= T, sep="\t", I tried this and it gives the very same error as above. Then I will try this again. 62 3.69 3.19 20 1 0 4 2 The following code illustrates the problems with encodings: library (stringi) x <-"Émigré cause célèbre déjà vu. in an interactive session and not while knitting a document.