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I'd like to extract the specific value from dataframe that I need to do data arranging in R. I can't come up with any method to use in R, so any help will be appreciated.

As an example in my dataframe looks something like this:

the raw data looks like as below:

df <- data.frame(
  v1=c('aa',438652,22, ,01),
  v2=c(343012,45, ,'pi',75),
  v3=c(56,'hi',78,670934, ),
  v4=c( ,'cc',906235,05,44))

However, I'd like to extract "6 digits numbers" out into another new frame It's looked like this:

new <- data.frame(
  v5=c(438652,343012,670934,906235))

Does anyone have any ideas? That would be great appreciation !!


We can use nchar to count the number of characters

temp <- as.character(unlist(df))
data.frame(v5 = temp[nchar(temp) == 6])

#      v5
#1 438652
#2 343012
#3 670934
#4 906235

how to extract specific value in R, We can use nchar to count the number of characters temp <- as.character(unlist( df)) data.frame(v5 = temp[nchar(temp) == 6]) # v5 #1 438652� Extracting value specific rows in R. Ask Question Asked 8 years, 4 months ago. Active 8 years, 4 months ago. Viewed 42k times 4. 1. I have a tab-delimited file with


You could use a regular expression

as.numeric(as.character(unlist(df)[grep("\\d{6}", unlist(df))]))
#[1] 438652 343012 670934 906235

To store in a new data.frame

data.frame(v5 = as.numeric(as.character(unlist(df)[grep("\\d{6}", unlist(df))])))
#      v5
#1 438652
#2 343012
#3 670934
#4 906235

How to Extract Variables, Observations, and Values from a Data , In many cases, you can extract values from a data frame in R by pretending that it's data here — the dollar sign is simply a specific way for accessing variables. Extract values from Raster objects. Extract values from a Raster* object at the locations of other spatial data. You can use coordinates (points), lines, polygons or an Extent (rectangle) object. You can also use cell numbers to extract values. If y represents points, extract returns the values of a Raster* object for the cells in which a set of points fall.


Here is an option with tidyverse

library(tidyr)
library(dplyr)
pivot_longer(df, everything(), values_to = 'v5') %>%
    select(v5) %>%
    mutate(v5 = as.numeric(as.character(v5))) %>% 
    filter(nchar(v5) == 6, !is.na(v5)) 
# A tibble: 4 x 1
#      v5
#   <dbl>
#1 343012
#2 438652
#3 906235
#4 670934

Or in base R

v1 <- na.omit(as.numeric(t(df)))
v1[nchar(v1)== 6]

Extract or Replace Parts of a Data Frame, Numeric values are coerced to integer as if by as.integer . For replacement by [ , a logical matrix is allowed. name. A literal character string or a� In data frames in R, the location of a cell is specified by row and column numbers. Check out the different syntaxes which can be used for extracting data: Extract value of a single cell: df_name[x, y], where x is the row number and y is the column number of a data frame called df_name. Extract the entire row: df_name[x, ], where x is


Extracting value from a data frame where column name to extract , extract values from different variables based on criteria using I'd be very interested to know if there is a direct (already in R, such as� This article represents a command set in the R programming language, which can be used to extract rows and columns from a given data frame.When working on data analytics or data science projects


extract function, Extract values from a Raster* object at the locations of other spatial data. You can use coordinates (points), lines, polygons or an Extent (rectangle) object. You can extract components from lists in R. Consider two lists. The display of both the unnamed list baskets.list and the named list baskets.nlist show already that the way to access components in a list is a little different. That’s not completely true, though. In the case of a named list, you can access the components using the $, as you do with data frames.


Learn R: How to Extract Rows and Columns From Data Frame, Learn R: How to Extract Rows and Columns From Data Frame which could be used to extract an element in a particular row and column. Those brackets ([]) illustrate another strong point of R. They represent a function that you can use to extract a value from that vector. You can get the fifth value of the preceding number vector like this: > numbers 26