Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Rcpp for everyone
Search
teuder
March 31, 2017
Technology
1
1k
Rcpp for everyone
Brief introduction of learning resources for Rcpp.
teuder
March 31, 2017
Tweet
Share
More Decks by teuder
See All by teuder
あまぁいRcpp生活
teuder
1
460
Other Decks in Technology
See All in Technology
日本Rubyの会: これまでとこれから
snoozer05
PRO
4
170
MLflowダイエット大作戦
lycorptech_jp
PRO
1
140
打 造 A I 驅 動 的 G i t H u b ⾃ 動 化 ⼯ 作 流 程
appleboy
0
360
AIプラットフォームにおけるMLflowの利用について
lycorptech_jp
PRO
1
170
AI駆動開発における設計思想 認知負荷を下げるフロントエンドアーキテクチャ/ 20251211 Teppei Hanai
shift_evolve
PRO
2
430
ChatGPTで論⽂は読めるのか
spatial_ai_network
11
29k
SREには開発組織全体で向き合う
koh_naga
0
380
AWSを使う上で最低限知っておきたいセキュリティ研修を社内で実施した話 ~みんなでやるセキュリティ~
maimyyym
2
1.8k
re:Invent2025 コンテナ系アップデート振り返り(+CloudWatchログのアップデート紹介)
masukawa
0
390
Sansanが実践する Platform EngineeringとSREの協創
sansantech
PRO
2
950
多様なデジタルアイデンティティを攻撃からどうやって守るのか / 20251212
ayokura
0
490
品質のための共通認識
kakehashi
PRO
4
380
Featured
See All Featured
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
30
The World Runs on Bad Software
bkeepers
PRO
72
12k
Java REST API Framework Comparison - PWX 2021
mraible
34
9k
Producing Creativity
orderedlist
PRO
348
40k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
0
88
Navigating Weather and Climate Data
rabernat
0
44
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
22k
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
20
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.3k
Statistics for Hackers
jakevdp
799
230k
Claude Code どこまでも/ Claude Code Everywhere
nwiizo
61
47k
A better future with KSS
kneath
240
18k
Transcript
3DQQGPSFWFSZPOF ବ@teuder
"CPVUNF ాਅथ .BTBLJ&5TVEB 1I% -JGFTDJFODFT #VTJOFTT$POTVMUBOU XJUI %BUB4DJFODF
3DQQ 3DQQJTBQBDLBHFUIBUFOBCMFTZPV UPJNQMFNFOU3GVODUJPOTJO$ #ZVTJOH3DQQ ZPVDBOXSJUF$ DPEFJOBTUZMFTJNJMBSUP3
None
%JSL&EEFMCVFUUFM
5PEBZ *EPOPUUBMLBCPVUIPXUPVTF3DQQ CVUJOUSPEVDFZPVTPNFVTFGVMSFTPVSDFT XIFOZPVXBOUUPMFBSO3DQQ
5IFNBKPSSFTPVSDFTGPS MFBSOJOH3DQQ "EWBODFE3 3DQQ(BMMFSZ 3DQQ/PUF 7JHOFUUFT
"EWBODFE3 (SFBUJOUSPEVDUJPOUP3DQQ #VUJUMBDLTTPNFEFUBJMT )PXDBO*NPWFUPUIFOFYUTUFQ
3DQQ(BMMFSZ (SFBUDPNQJMBUJPOPGHPPEFYBNQMFT #VUUIFJOGPSNBUJPOJTGSBHNFOUFE )PXDBO*HFUUJEZLOPXMFEHFBCPVU3DQQ
3DQQ/PUF (SFBU$ TUZMFSFGFSFODFEPDVNFOU #VUJUPOMZQSPWJEFMJNJUFEJOGPSNBUJPO )PXDBO*HFUNPSFQSBDUJDBM BOENPSFTZTUFNBUJDBMLOPXMFEHF
*OUIFTFEBZT *DPVMEOPUpOEBEPDVNFOUMJLFUIBU*XBOU #VUPOFEBZ *SFNFNCFSFEBQISBTF *`WFTFFOPOUIFJOUFSOFU
If there does not exist what you want, just create
it. That should have been the oath of HOXO-M ! ͳ͚Ε࡞Δɻ ͦΕ͕ϗΫιΤϜͷ͍ͩͬͨͣʂ
IUUQTXXXHJUCPPLDPNCPPLUFVEFSJOUSPEVDUJPOUPSDQQEFUBJMT *XSPUFB3DQQ8FC#PPL
&OHMJTIWFSTJPOJTBMTPBWBJMBCMF IUUQTXXXHJUCPPLDPNCPPLUFVEFSJOUSPEVDUJPOUPSDQQEFUBJMT
$POUFOUTPGUIFCPPL 7FDUPS .BUSJY -JTU %BUB'SBNF 4 3MJLFGVODUJPOT 1SPCBCJMJUZEJTUSJCVUJPOT 6TJOH3GVODUJPOTGSPN3DQQ "UUSJCVUFT
/"/BO*OG &OWJSPONFOU &SSPSIBOEMJOH BOENPSFʜ
4JODFUIF&OHMJTIWFSTJPO XBTSFMFBTFE 1BHFWJFXTEPVCMFEBOEJTTUJMMHSPXJOH 3FMFBTFPG&OHWFS /PW 5JNFTFSJFTPGQBHFWJFXTJOUIFMBTUNPOUIT
1BHFWJFXTCZDPVOUSJFT (FSNBOZJTUIFSEQMBDF #VUMBSHFMZCFIJOEGSPN64BOE+BQBO 1BHFWJFXTJOUIFMBTUNPOUIT
8IBUXPVMECF UIFHPPETJUVBUJPOUPVTF3DQQ w -PPQTJOXIJDIMBUFSJUFSBUJPOEFQFOETPOUIF QSFWJPVTJUFSBUJPO w 3FDVSSFOUDBMMTPGGVODUJPOJOMPPQ w "DDFTTJOHFBDIFMFNFOUTPGWFDUPSEBUBGSBNF w
$IBOHJOHTJ[FPGBWFDUPSBUSVOUJNF w 0QFSBUJPOUIBUOFFEBEWBODFEEBUBTUSVDUVSF BOEBMHPSJUIN
#FDBVTF3DQQSFRVJSFTZPVBOFYUSBDPTU :PVNJHIUCFBCMFUPNBYJNJ[FZPVSRVBMJUZPGMJGF XIFOZPVVTFJUUPCSFBLCPUUMFOFDLPGZPVSDPEF 8IBUXPVMECF UIFHPPETJUVBUJPOUPVTF3DQQ
*ONZDBTF $POWFSUJOHEBUBGSBNFUPTQBSTFNBUSJY df %>% as.matrix %>% Matrix::Matrix(sparse = TRUE) #VUDPOWFSUJOHNBUSJYGBJMTXIFOUIFEBUBJT
SFMBUJWFMZMBSHF BCPVUTFWFSBMUFOTPG(# df %>% asSparseMatrix 4P*DSFBUFB3DQQGVODUJPODPOWFSUJOHUIFEBUB EJSFDUMZUPTQBSTFNBUSJY
#include <Rcpp.h> using namespace Rcpp; %FpOJOHBGVODUJPO // [[Rcpp::export]] S4 asSparseMatrix(
DataFrame df ){ // prerequisite : // all the elements DataFrame is numeric/integer // and not containing NAs. // number of rows and columns int nrow = df.nrows(); int ncol = df.length();
6TJOHTUEWFDUPSJOTUFBEPG3DQQ7FDUPS #FDBVTFDIBOHJOHTJ[FPGWFDUPSBUSVOUJNF JTOPUFGpDJFOUJO3DQQ7FDUPS std::vector<R_xlen_t> rows; std::vector<R_xlen_t> cols; std::vector<double> vals;
4UPSJOHUIFQPTJUJPOTBOEWBMVFTPG OPO[FSPFMFNFOUTJOUIF%BUB'SBNF for(R_xlen_t col=0; col<ncol; ++col){ NumericVector column = df[col]; for(R_xlen_t row=0; row<nrow; ++row){ if(column[row]!=0.0){ rows.push_back(row+1); cols.push_back(col+1); vals.push_back(column[row]); } } }
$BMMJOH.BUSJYTQBSTF.BUSJY Environment env = Environment::namespace_env("Matrix"); Function sparseMatrix = env["sparseMatrix"];
$POWFSUJOHTUEWFDUPSUP/VNFSJD7FDUPS S4 sm = sparseMatrix( Named("i") = wrap(rows), Named("j") = wrap(cols), Named("x") = wrap(vals), Named("dims") = NumericVector::create(nrow,ncol)); 4FUUJOHSPXOBNFTBOEDPMOBNFT List dimnames = List::create(R_NilValue, df.names()); sm.attr("Dimnames") = dimnames; 3FUVSOJOHUIFTQBSTFNBUSJY return sm; }
$PODMVTJPO w :PVDBOJNQMFNFOU3GVODUJPOJO$ XJUI3DQQ w 5IFSFBSFTV⒏DJFOUSFTPVSDFTGPSMFBSOJOH3DQQ w 3DQQJTTVJUBCMFUPCSFBLCPUUMFOFDLTPGZPVSDPEF *IPQFNZl*OUSPEVDUJPOUP3DQQz XPVMEBJECSPBESBOHFPGQFPQMF
&OKPZ
"EWFSUJTJOH 605 1 2 3 4 5 6 7 8
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 24 ষɹɹRcpp Rcpp RcppRͷؔΛC++Ͱ࣮Ͱ͖ΔύοέʔδͰ͢ɻRͱྨࣅͨ͠ελΠϧͰهड़Ͱ͖ ΔΑ͏ʹ࣮͞Ε͍ͯΔͨΊɺC++ʹਂ͍͕ࣝͳͯ͘ར༻͘͢͠ͳ͍ͬͯ·͢ɻ͠ ͔ɺͦͷͨΊͷ࣮ߦ٘ਜ਼ʹ͞Ε͍ͯͳ͍ͷͰɺ୭ͰϋΠύϑΥʔϚϯεͳ݁ՌΛ ಘΔ͜ͱ͕Ͱ͖·͢ɻ 24-1 Rcppͷ׆༻γʔϯ ࣍ͷΑ͏ͳέʔεC++Ͱ࣮͢Δ͜ͱʹΑΓɺRͱൺͯߴԽ͕ݟࠐΊ·͢ɻ ɾ ܁Γฦ͠ॲཧɺಛʹ࣍ͷॲཧ͕લͷॲཧʹґଘ͓ͯ͠ΓฒྻԽͰ͖ͳ͍ ɾ ϕΫ τϧߦྻͷݸʑͷཁૉΞΫηε͢Δඞཁ͕͋Δ ɾ ϕΫ τϧͷαΠζΛಈతʹมߋ͍ͨ͠ ɾ ߴͳσʔλߏΞϧΰϦζϜΛ༻͍ͨॲཧΛߦ͍͍ͨ RcppͷύϑΥʔϚϯεΛࣔͨ͢Ίɺ܁Γฦ͠ॲཧͷྫͱͯ͠MCMCΞϧΰϦζϜͷҰछͰ͋ ΔΪϒεαϯϓϥʔ ʢ1ʣ ͷ࣮ྫΛࣔ͠·͢ɻ͜ͷྫͰɺΪϒεαϯϓϥʔʹΑΓඪ४2ม ਖ਼ن͔ΒnαϯϓϦϯά͍ͯ͠·͢ɻ ·ͣൺֱͷͨΊRΛ༻͍࣮ͨྫΛࣔ͠·͢ ʢϦετ24.1ʣ ɻ Ϧε τ24.1ɹGibbs.R GibbsR <- function(b, n, t){ # 2มඪ४ਖ਼ن͔ΒnαϯϓϦ ϯά # b : 2มͷڞࢄ # n : αϯϓϧ # t : αϯϓϦ ϯάࣺͤͣͯΔִؒ X <- matrix(0, nrow = n, ncol = 2) x1 <- x2 <- 0 sd <- sqrt(1-b^2) for(i in 1:n){ for(j in 1:t){ x1 <- rnorm(1, b*x2, sd) x2 <- rnorm(1, b*x1, sd) ʢ1ʣ ߴ࣍ݩͷෳࡶͳ֬ʹै͏ཚΛੜ͢ΔϚϧίϑ࿈ϞϯςΧϧϩ๏ͱݺΕΔΞϧΰϦζϜͷҰछͰ͢ɻ 24-1 24 ষ ٕज़ධࣾɹ੫ࠐԁ