All Questions
726
questions
2
votes
3
answers
74
views
Converting dataframe from "wide" to "long" format with pairs of ID variables
Here's an example of what I am trying to do. I am starting with a dataframe in "wide" format, like below.
#sample dataframe
id_1 <- c(260, 500, 640, 720)
id_2 <- c(261, 501, 641, 721)
...
- 195
0
votes
0
answers
35
views
Rowwise comparison in R for several fields [duplicate]
Suppose you have a dataframe df_matches with transaction data structured in the following way:
| REPORT_ID| VALUE | SIDE | COUNTRY | CP1 | CP2 |...
| -------- | -------- | -------- | ...
- 3
0
votes
1
answer
93
views
reshape dataframe based on event occurance and clearing
i want to see if there is an efficient way to reshape dataframe that is read from a tab separated csv file. the data consist of event codes and messages that are stacked up vertically with their ...
- 105
0
votes
0
answers
24
views
how dcast melted data winto a table with header and sub-header?
I have Input data like the one below and I want to know if there is any way to reshape it into an Excel format with a header and sub-header.
Input:
Cons rep name value
10 N=1 A 12
...
- 765
3
votes
3
answers
96
views
Is it possible to reorder a table in R?
I have a table as belowe:
dput(df)
structure(list(Samples = c("Cont-4", "Cont-4", "Cont-4", "Cont-4",
"Cont-4", "Cont-4", "Cont-4"...
- 51
4
votes
2
answers
116
views
How to reference the last column in pivot_longer() without naming it or providing the index number?
I'm writing a function to pivot a data table to long format. For the cols = argument, the name of the first column will always be the same, but the final column (and number of columns) will change. ...
- 361
1
vote
1
answer
121
views
Convert data from wide to long format by checking the values of a row
I have the data below
data<-structure(list(id = c("R_88j7lG37gLfxk22", "R_6DK8lERVf8lSQf4"
), t1_choice = c("2", "3"), t2_choice = c("1", "3&...
- 8,306
0
votes
0
answers
15
views
Is there any xarray code for selecting data in the shape of a parallelogram?
I have a temperature data with dimensions YC and XC. I'm interested in selecting data within the red parallelogram shape depicted in the figure. xarray.DataArray'YC: 720 XC: 560.
However, when using ...
3
votes
2
answers
93
views
Reshaping a data frame with example
I am trying to reshape my data frame. I have my data in long columns, and I need to spread that data out into the same row but new columns, as you can see above.
One of the main problems I am running ...
1
vote
3
answers
143
views
Reshape a stacked style data file into a dataframe using pandas
I have a csv input file with the below format and i'm looking for a fairly easy way to convert to normal shape dataframe in pandas. the csv data file has all data stacked up into two columns with each ...
- 105
0
votes
1
answer
60
views
Reshaping dataframe by ID
I have a dataframe with one ID column and 24 value columns. For one ID, there is 49 rows of data. I would like to reshape this 49x24 into 7x168 shape for each ID, retaining the order so, that every ...
- 41
1
vote
1
answer
22
views
How to evaluate the fate (dropped, added or persisted) of species in consecutive years in R
Blockquote
I have several time-series of varying length in a data frame that looks like this:
I want to see if a species dropped or added or persisted from one year to the other year. The output can ...
- 117
1
vote
1
answer
47
views
function for reshaping data efficiently
I need to reshape a dataframe that looks like:
holdc
country_n popClass_n org P50M P50L P50U P95M P95L P95U P99M P99L P99U P99_9M P99_9L P99_9U
1 Austria Adults ADG 0.0445 ...
- 435
0
votes
2
answers
62
views
R function to combine rows based on duplicates in specific columns and add value to a new column based on
I have a very large data frame ('df') that has many duplicated rows that need consolidation. These duplicated rows represent different categories, and the values that correspond to these categories ...
- 11
2
votes
1
answer
26
views
Reshape/convert study-level meta-analysis to individual patients data meta-analysis
I have study-level meta-analysis data that I want to reshape/convert it to patients level data
Here is a sample of my data
data2<-read.table(text="STUDY TOTAL POAF Age_POAF
CRESWELL, ...
- 1,176