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Restructuring data and duplicating rows in R


Restructuring data and duplicating rows in R

By : user2954837
Date : November 22 2020, 10:33 AM
fixed the issue. Will look into that further I have a problem with restructuring data. For the entire data set, I need to duplicate each row and insert it to the row right after it, such that , You could try rep
code :
df1[rep(1:nrow(df1),each=2),,drop=FALSE]
library(splitstackshape)
expandRows(df1, 2, count.is.col = FALSE)
df1 <- data.frame(Col1=1:5, Col2=6:10)


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Duplicating all SQL rows and simultaneously changing the data

Duplicating all SQL rows and simultaneously changing the data


By : WayLingaw
Date : March 29 2020, 07:55 AM
I hope this helps you . If only the duplicate row needs to have this values changed, then you can modify your INSERT:
code :
INSERT INTO `performers`(col1, col2, col3, piano, singing)
SELECT col1, col2, col3, singing, singing
FROM `performers` 
Restructuring data table/entering new rows with blank values

Restructuring data table/entering new rows with blank values


By : Tom
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further Bit of a tricky question. I need method to systematically to group,order, and create new rows of data. There are three 4 levels of stratification (c1,c2,c3,c4) and a "score" value for each iteration of stratification. It is a bit hard to articulate, so I will give you the HAVE and WANT tables , How about this?
code :
data want;
  set have(rename=(C2=C2_in C3=C3_in C4=C4_in SCORE=SCORE_in));
  by C2_in C3_in;
  format C1-C3 $1. SCORE 3.;

  if first.C2_in or first.C3_in then do;
    C3 = C3_in;
    output;
  end;

  C2 = C2_in;
  C3 = C4_in;
  SCORE = SCORE_in;
  output;

  drop C2_in C3_in C3_in C4_in SCORE_in;
run;
conditionally duplicating rows in a data frame

conditionally duplicating rows in a data frame


By : Annimanam
Date : March 29 2020, 07:55 AM
This might help you This is a sample of my data set: , With dplyr and tidyr, we can do:
code :
library(dplyr)
library(tidyr)

df %>% 
  expand(day, city) %>% 
  left_join(df) %>% 
  group_by(day) %>% 
  fill(count, .direction = "up") %>% 
  fill(count, .direction = "down")
df %>% 
  complete(day, city) %>% 
  group_by(day) %>% 
  fill(count, .direction = "up") %>% 
  fill(count, .direction = "down")
# A tibble: 6 x 3
    day city  count
  <dbl> <fct> <dbl>
1    1. A       50.
2    1. B       50.
3    1. C       50.
4    2. A      100.
5    2. B      110.
6    2. C       90.
df <- data.frame(
  day = c(1,2,2,2),
  city = c("B","A","B","C"),
  count = c(50,100,110,90)
)
restructuring a Data.Frame Into multiple rows based on strsplit

restructuring a Data.Frame Into multiple rows based on strsplit


By : Barush Suchanová
Date : March 29 2020, 07:55 AM
will help you I have data structured like this. , Using R base:
code :
> IDs <- strsplit(df$id, ";")
> data.frame(ID=unlist(IDs), Description=rep(df$description, lengths(IDs)))
    ID Description
1 4031  Sentence A
2 1040  Sentence B
3 2040  Sentence B
4 3040  Sentence B
5 4040  Sentence C
6 1050  Sentence D
7 2050  Sentence D
8 3050  Sentence D
R: Conditionally duplicating data from columns into rows

R: Conditionally duplicating data from columns into rows


By : user3504568
Date : March 29 2020, 07:55 AM
I wish did fix the issue. This is a wide to long transformation that can be done with melt from the reshape2 package. Do:
code :
df2 = melt(data = df, 
           id.vars = c("Connection.ID","Note"), 
           measure.vars = c("From","To"), 
           variable.name = 'From_To',
           value.name = "Node.Name" )

# Remove the unwanted From_To column
df2$From_To = NULL
> df2
  Connection.ID                                             Note       Node.Name
1             1                    Niamh and James are coworkers Niamh MacCallum
2             2                     James and Simon are brothers    James Fraser
3             3     Niamh recruited Tom to join her organization Niamh MacCallum
4             1                    Niamh and James are coworkers    James Fraser
5             2                     James and Simon are brothers     Simon David
6             3     Niamh recruited Tom to join her organization      Tom Ashton
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