I’ve been looking everywhere and can’t seem to find specifics on what the world drops umbral engrams decrypts into, nor can I find whether it even drops at all, and I don’t want to waste my time and resources pouring into the wrong focusing.
I'm trying to combine two tables using cbind(), but I can't then add some column names overall to show that they are overall. Is there anyway of forming a table like this, or another method, to make something like the example I've done in excel??
https://preview.redd.it/clbb32fpn0w71.png?width=482&format=png&auto=webp&s=a695ec7493ec23cacb41f5eac67869018fc080e5
I want to correlate 2 categorical variables, one is the IPAQ which have 3 groups (low p.a level, moderate p.a and high physical activity level) with the dass-21 item for stress Wich have 5 different groups (normal, mild, moderate, severe and extremely severe ).
I wonder how all these Louisville rumours started then. Someone must be lying about (or downplaying) the "discussions" that were supposedly happening. Oh well!
The Proposed Dec 22 start date is nearing closer so hopefully the organization can come up with a solution before then.
I have a df named covid and two columns named Sex and Seizure. When I make a table with them using the table function, like:
>table20 = table(covid$Sex,covid$Seizure)
>
>table20
I get an output like this:
>Yes No
>
>Male 806 316
>
>Female 605 310
Notice that I have , in rows, 'Male' and 'Female', in this case, so the table is understandable. However, in some cases I had 'yes' and 'no' in both rows and columns alike, and I had to change the name of the categorical variables in a whole column in my dataframe to make the table intelligible.
Is there any way that my tables will show with the 'labels' of the original columns? So far I have found none, but it seems to me that should have been the default option in R for data intelligibility.
Thank you.
Hi I want to share with you my creation for players willing to compete at highest level. You can check how your country is doing with this updatable contingency table. I don't know how to auto update data, you need to manually insert them from (data from Riot, updated every 30 minutes): https://docs.google.com/spreadsheets/d/117SRAXNYss2hOm5S45Ecw_OSGVYElB00W4yeH88cod0/edit#gid=0
Link to spreadsheet: https://easyupload.io/jvzmzk
Hope you guys appreciate it and have a good day
https://preview.redd.it/75m2l0pisqq51.png?width=385&format=png&auto=webp&s=ed477b73d0674210185b526db338607d8e59e2a9
Hey guys,
I have to do a comparison between the window-based and dependency-based approach. Therefore, I would like to do a contingency table, however, I'm not sure whether I'm taking the correct numbers. I would like to do it with the lemma sport, the second word taken into account shall be black. I posted my query as an image. For sports, I'd say I have to take 10 as my Y. The total number should be 9288 which equals R1 or do I have to take the total no. in the whole BNC for R1? And for my adjective black, I don't know any number. Could someone please help me?
Thanks in advance!
https://preview.redd.it/s0wwzpe42kg51.png?width=1253&format=png&auto=webp&s=f499502d57bb0806cd60510ceccf0bb3cb671e1b
I’m really confused about how expected values are calculated. Based on my textbook the formula for expected values is row total x column total / overall total but that makes no sense to me. Are we deciding our expected values based on our observed values??
I currently have a dataframe that states particular gene clusters within genomes, this is defined as a well-formatted tab-delimited file, which looks basically like the dataframe below (Example):
dataframe= ({'GCF': ['PKSI_GCF1813', 'NRPS_GCF1813', 'PKSI_GCF1883',
'NRPS_GCF1887'],'Genome': ['Streptomyces_sp_Hm106', 'Streptomyces_sp_MBT13', 'Listeria_sp_MBT23', '
Streptomyces_sp_MBT36']}
Based on this I want to create an absence presence table or contingency table based on this dataframe with values of 0 and 1, depending on the absence or presence of a particular gene cluster in a genome. The whole idea is for me to be able to measure the occurrence of a particular gene cluster within a genome, thus I want a presence absence table in order to be able to conduct a statistical analysis on this matrix.
What type of visualizations also would anyone suggest for this type of data? Thanks so much in advanced! :)
I am not sure on where to go with this to be honest and would appreciate highly some orientation if possible! Thanks in advanced :)
Title^^
I have just come across a problem with my contingency table homework and that is to do with the fact that I'm getting an expected value of less than 5. Apparently, I am supposed to do something about it but out of the 3 textbooks I've searched they seem to avoid the topic. What am I supposed to do with the columns and rows and how will it affect my calculation for the Chi-Squared value in my test? (This is a 3x3 table in case any of you mention Yates correction)
I am taking a intro to biostats course and I am trying to figure out is this correct.
I have a 2 by 2 contingency table which treatment and outcome. I know I can calculate an OR by (AD)/(BC) or https://www.medcalc.org/calc/odds_ratio.php
So I am starting to learn about logistic regression. So in an unadjusted model (e.g. model is just outcome=treatment), it would be the treatment and outcome that is it. Is the OR here consider the same as from the 2x2 contingency table as there are no covariates?
I am just trying to connect the dots and I think it is. But I am not sure.
I am using SPSS to do chi square tests on a variety of rXr contingency tables (multiple different sizes). However, there are some cells with expected value <5. I know Fisher's exact test is used for 2X2 tables only and so SPSS will not put out a Fisher's for those that do not fit this criteria. Is there an alternative SPSS test to run that will fit these needs? Thanks!
