row - R dplyr rowwise mean or min and other methods? -

-

how can dplyr minimum (or mean) value of each row on data.frame? mean same result as

apply(mydataframe, 1, mean)  apply(mydataframe, 1, min)

i've tried 

mydataframe %>% rowwise() %>% mean

or

mydataframe %>% rowwise() %>% summarise(mean)

or other combinations errors, don't know proper way.

i know use rowmeans, there no simple "rowmin" equivalent. there exist matrixstats package functions don't accept data.frames, matrixes.

if want calculate min rowwise use
do.call(pmin, mydataframe) there simple rowwise mean?

do.call(mean, mydataframe)

doesn't work, guess need pmean function or more complex.

thanks

in order compare results work on same example:

set.seed(124) df <- data.frame(a=rnorm(10), b=rnorm(10), c=rnorm(10))

i suppose trying accomplish:

df <- data.frame(a=rnorm(10), b=rnorm(10), c=rnorm(10))  library(dplyr) df %>% rowwise() %>% mutate(min = min(a, b, c), mean = mean(c(a, b, c)))  #                      b           c        min        mean # 1   1.3720142  0.2156418  0.61260582  0.2156418  0.73342060 # 2  -1.4265665 -0.2090585 -0.05978302 -1.4265665 -0.56513600 # 3   0.6801410  1.5695065 -2.70446924 -2.7044692 -0.15160724 # 4   0.0335067  0.8367425 -0.83621791 -0.8362179  0.01134377 # 5  -0.2068252 -0.2305140  0.23764322 -0.2305140 -0.06656532 # 6  -0.3571095 -0.8776854 -0.80199141 -0.8776854 -0.67892877 # 7   1.0667424 -0.6376245 -0.41189564 -0.6376245  0.00574078 # 8  -1.0003376 -1.5985281  0.90406055 -1.5985281 -0.56493504 # 9  -0.8218494  1.1100531 -1.12477401 -1.1247740 -0.27885677 # 10  0.7868666  0.6099156 -0.58994138 -0.5899414  0.26894694

Comments

Post a Comment

Popular posts from this blog

python - pip install -U PySide error -

-
does know how avoid following error when running pip install -u pyside per official website instructions here: https://pypi.python.org/pypi/pyside/#installing-pyside-on-a-mac-os-x-system note have done brew install qt successfully. you using pip version 7.0.3, version 7.1.2 available. should consider upgrading via 'pip install --upgrade pip' command. collecting pyside using cached pyside-1.2.4.tar.gz installing collected packages: pyside running setup.py install pyside complete output command /applications/anaconda/bin/python -c "import setuptools, tokenize;__file__='/private/var/folders/dy/ttgqhqqx3g9bsbsnqnxsk2z80000gq/t/pip-build-cpxemt/pyside/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /var/folders/dy/ttgqhqqx3g9bsbsnqnxsk2z80000gq/t/pip-0r7hri-record/install-record.txt --single-version-externally-managed --compile: ...
Read more

arrays - C++ error: a brace-enclosed initializer is not allowed here before ‘{’ token -

-
simple question: i'm trying initialize array within c++ class declaration: using namespace std; #include <string> class myclass{ public: string myarray[] = {"a","b","c"}; }; and i'm getting error: error: brace-enclosed initializer not allowed here before ‘{’ token no, without complied c++11 compiler, cannot initialize member array in declaration. have initialize array member in constructor. , don't use open array if know number of elements initialize array.
Read more

cytoscape.js - How to add nodes to Dagre layout with Cytoscape -

-
i trying add nodes dagre graph through cityscape.js. problem nodes not painted. code have: cy.add({ group: "nodes", data: { id:"n0",name:"n0",weight: 75 }, }); $.ajax(url).done(function(jsontree){ var newnodes=[]; for(var i=1;i<6;i++){ //var child = jsontree.result[i]; newnodes.push( { group: "nodes", data: { id: "n"+i, name:"n"+i}}, { group: "edges", data: { id: "e"+i, source: "n0", target: "n"+i } } ); } cy.add(newnodes); any ideas? have used loaded function reload graph not work. not know if have use specific function reload graph. thank in advance. you need add positions new nodes. cytoscape.js docs : it important note positions of newly added nodes must defined when calling cy.add(). nodes can not placed in graph without valid position — otherwise not displayed. yo...
Read more