I have a input uff file with 'n' no.of channels. I want to read the UFF file and also split the values based on each individual channel. Then store the result for each channel in separate file. Each channel always start with '-1' '58' etc., and end with '-1'.
Example channel_01 from the input UFF file:
-1
58
filename
22-Mar-2016 10:16:53
164
MnBrgFr-AC225R/N;50.9683995923 mV/m/s2
0 0 0 0 channel_01 0 0 NONE 0 0
2 1048576 1 0.00000E+00 8.19669930804e-06 0.00000E+00
17 0 0 0 Time s
1 0 0 0 MnBrgFr-AC225R/N m/s2
0 0 0 0 NONE NONE
0 0 0 0 NONE NONE
392.665124452 392.659048025 392.658404832 392.661676933 392.665882251 392.671989083
392.67634175 392.673743248 392.672398388 392.669360175 392.665533757 392.66088639
392.660390546 392.660975268 392.663400693 392.662668621 392.661209156 392.65498538
392.649463269 392.649580214 392.649259786 392.658580248 392.664715147 392.667051694
-1
Related
A sample of my data can be seen below. The data contains information about ties between organizations (over 2000 organizations, the csv file has 0s and 1s, and empty cells)
A2654 B0004 B0188 B1278 B1372 B1722 B2503
A2654 0 1 0 0 0 1 0
B0004 1 0 0 0 0 1 0
B0188 0 0 0 0 0 0 0
B1278 0 0 0 0 0 0 0
B1372 0 0 0 0 0 0 0
B1722 1 1 0 0 0 0 0
(1) The first problem is that I can't import this data (.csv) into R
I runt the following code dt <- read_csv2("Org_ties.csv") The problem here is that while in the csv file the first column is left empty (it should be) -- when reading it into R, read_csv() generates a label for this column "X1". I do this in order to run the next code: g=graph_from_adjacency_matrix(dtmtrx, mode="directed", weighted = T) to produce a graph. However, I get the error message below. I think it has to do with the fact that I can't read it properly.
graph.adjacency.dense(adjmatrix, mode = mode, weighted = weighted, :
not a square matrix
In addition: Warning message:
In mde(x) : NAs introduced by coercion
(2) Another puzzling thing is that I cannot seem to transform the current data structure into an edge list. How can I do that? The edge list looks something like this
V1 V2 weight
A2654 B0004 1
A2654 B0188 0
A2654 B1278 0
A2654 B1372 0
A2654 B1722 1
Hello everybody and thank you in advance for any help.
I inserted a txt file named "project" in R. This dataframe called "data" and consisted of 12 columns with some information of 999 households.
head(data)
im iw r am af a1c a2c a3c a4c a5c a6c a7c
1 0.00 20064.970 5984.282 0 38 0 0 0 0 0 0 0
2 15395.61 7397.191 0.000 42 30 1 0 0 0 0 0 0
3 16536.74 18380.770 0.000 33 28 1 0 0 0 0 0 0
4 20251.87 14042.250 0.000 38 38 1 1 0 0 0 0 0
5 17967.04 12693.240 0.000 24 39 1 0 0 0 0 0 0
6 12686.43 21170.450 0.000 62 42 0 0 0 0 0 0 0
im=male income
iw=female income
r=rent
am=male age
af=female age
a1c,a2c....a7c takes the value 1 when there is a child in age under 18
and the value 0 when there is not a child in the household.
Now i have to calculate the taxed income seperately for male and female for each houshold based on some criteria, so i am trying to create 1 function which calculate 2 numbers and after that to apply this function on my data frame and return a list with these numbers.
Specificaly I want something like this:
fact<-function(im,iw,r,am,af,a1c,a2c,a3c,a4c,a5c,a6c,a7c){
if ((am>0)&&(am<67)&&(af>0)) {mti<-im-(r)/2-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((am>0)&&(am<67)&&(af==0)) {mti<-im-r-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((am>=67)&&(af>0)) {mti<-im-1000-(r)/2-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((am<=67)&&(af==0)) {mti<-im-1000-r-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((af>0)&&(af<67)&&(am>0)) {fti<-iw-(r)/2-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((af>0)&&(af<67)&&(am==0)) {fti<-iw-r-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((af>=67)&&(am>0)) {fti<-iw-1000-(r)/2-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((af<=67)&&(am==0)) {fti<-iw-1000-r-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
return(mti,fti)}
how can i fix this function in order to apply on my dataframe?
Can a function return 2 values?
how can i apply the function?
THEN I TRIED THIS:
fact<-function(im=data$im,iw=data$iw,r=data$r,am=data$am,af=data$af,a1c=data$a1c,a2c=data$a2c,a3c=data$a3c,a4c=data$a4c,a5c=data$a5c,a6c=data$a6c,a7c=data$a7c){
if ((am>0)&&(am<67)&&(af>0)) {mti<-im-(r)/2-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((am>0)&&(am<67)&&(af==0)) {mti<-im-r-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((am>=67)&&(af>0)) {mti<-im-1000-(r)/2-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((am<=67)&&(af==0)) {mti<-im-1000-r-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((af>0)&&(af<67)&&(am>0)) {fti<-iw-(r)/2-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((af>0)&&(af<67)&&(am==0)) {fti<-iw-r-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((af>=67)&&(am>0)) {fti<-iw-1000-(r)/2-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
if ((af<=67)&&(am==0)) {fti<-iw-1000-r-(500*(a1c+a2c+a3c+a4c+a5c+a5c+a6c+a7c))}
return(mti,fti)}
fact(data[1,])
but i have tis error: Error in fact(data[1, ]) : object 'mti' not found
when i tried the function only for "fti" can run but wrongly.
Besides the need to return multiple values using c(mti, fti), your function doesn't have a default value if none of the conditions in the functions are TRUE. So, mti is never created.
Add mti <- NA at the start of your function, so NA is the default value.
I am currently working with about 301 rows of data and want to determine the earliest point at which only a few particular columns are nonzero. However, I also want to ensure that this does not change. For example, the two columns are nonzero, while all other columns are zero, then later in the dataframe other columns are nonzero as well, this would mean that I would have to determine a later point which is "correct".
I have the data:
1 x y z xx xy xz
292 0 -8.965140 9.596890 0 0 0 -0.03147483
293 0 -9.079889 9.645991 0 0 0 -0.02722520
294 0 -8.967767 9.597826 0 0 0 0
295 0 -9.090561 9.650230 0 0 0 -0.02685287
296 0 -9.081568 9.646105 0 0 0 -0.02716237
297 0 0.000000 0.000000 0 0 0 0.00000000
298 0 0.000000 0.000000 0 0 0 0.00000000
299 0 -9.098568 9.628576 0 0 0 -0.02654466
300 0 -9.089815 9.646099 0 0 0 -0.02681748
301 0 -8.998078 9.605140 0 0 0 0
As you can see, only the variables x and y are selected for row 294, however, the xz variable contains values after that until the 301 row. Is it possible to develop a function which tells me at which point is the minimum row where I see only x and y as nonzero and it remains that way until the final row of the dataframe?
I'm sorry if it's difficult to understand the question, I found it difficult asking how exactly to accomplish this issue.
EDIT: I presume I could use something like
which((df$x != 0 & df$y != 0 &
(df[, 1] | df[, 4] == 0))
but then I need to somehow expand the second or statement to all columns of df.
Thanks in advance.
i am getting starting with R and i read some basics and syntax to get me started with it,
now i using miodin to define a project and a case-control study design.
library(miodin)
mp <- MiodinProject(name = "MyProject", author = "Myself", path ="." )
mshow(mp)
I have a file named "randseq"in my computer hard-disk which look like this.
ID LineA_1 LineA_2 LineA_3 LineA_4 LineA_5 LineB_1 LineB_2 LineB_3 LineB_4 LineB_5 LineB_6 LineB_7 LineB_8 LineB_9
ENSG00000000003 23 1 0 0 0 1 0 0 0 0 0 3 3 0
ENSG00000000005 0 0 0 0 0 0 0 0 0 0 0 0 0 0
ENSG00000000419 0 0 0 0 0 0 0 0 4 0 0 0 0 0
Now i want to define a workflow for importing the RNA-seq count data of that file which is in a folder named analysis_with_r, using the study design. Execute the workflow and export the dataset to the project folder. Below is my code for it
mw <- MiodinWorkflow(name = 'MyProject')
mw <- mw + downloadRepositoryData(
name = 'RNA downloader',
accession = 'randseq',
repository = '/Users/aarf/Desktop/analysis_with_r/randseq.txt',
path = 'data',
type = 'processed'
)
mw <- insert(mw,mp)
mshow(mw)
mw <- execute(mw)
saveDataFile(mp)
export(mp, 'dataset', 'randseq')
After running this code i get this error
[INFO] Module terminated with the following error [ERROR] Unknown
repository/Users/aarf/Desktop/analysis_with_r/randseq.txt
[INFO] 1 modules were not executed [STATUS] Execution finished
Can anybody tell me what am i doing wrong here?
I have generate a heatmap with pheatmap and for some reasons, I want that the rows appear in a predefined order.
I see in previous posts that the solution is to set the paramater cluster_row to FALSE, and to order the matrix in the order we want, like this in my case:
Otu0085 Otu0086 Otu0087 Otu0088 Otu0091
AB200 0 0 0 0 0
2 91 0 2 1 0
20CF360 0 1 0 1 0
19CF359 0 0 0 2 0
11VP12 0 0 0 0 155
11VP04 4 1 0 0 345
However, when I do:
pheatmap(shared,cluster_rows = F)
My rows are sorted alphabetically, like this:
10CF278a
11
11AA07
11CF278b
11VP03
11VP04
11VP05
11VP06
11VP08
11VP09
ANy suggestions would be welcome
Thank's by advance