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Derives the mode, estimating the value of a continuous variable.

Usage

calcmode(data,adjust=1)

Arguments

data

vector used to estimate the mode.

adjust

increase this value to make the density estimate smoother.

Value

Returns the numeric value of the mode.

Examples

vect1 = rchisq(1000,df=3)
calcmode(vect1)

#> [1] 1.366907
vect1
#>    [1]  6.09600139  6.17186310  1.54735755  0.70251198  1.95431420  1.16512180
#>    [7]  0.82257676  1.11444373  1.75096955  0.97505484  1.11104929  5.22510259
#>   [13]  2.71942474  2.31400673  2.14462963  1.94413852  2.89043852  3.01692606
#>   [19]  0.04030297  2.32768250  0.27863478  0.63715413  3.09578677  2.53333530
#>   [25]  4.51588964  0.63579982 10.12371667  1.41813489  1.59028402  4.36695920
#>   [31]  3.79152419  1.94261493  1.91497014  2.20372850  3.30528402  1.13506729
#>   [37]  6.11922742  3.16150423  1.59414397  0.42719662  5.84890890  4.78026364
#>   [43] 10.11981868  2.34105438  0.80854590  3.65716278  0.19014205  2.50934257
#>   [49]  2.46999514  1.63379921  7.91694283  4.60678820  6.06646112  3.83395198
#>   [55]  2.10764883  0.48493837  2.90739799  1.71049030  1.68505737  3.77848788
#>   [61]  6.21388095  0.48304361  6.70480185  1.72762086  3.70562136  0.52852322
#>   [67]  7.47074438  0.17315739  1.13786325  2.40135772  1.78796246  1.52459549
#>   [73]  6.84700517  1.80368746  1.42130692  2.99834570  0.55000340  0.78809191
#>   [79]  1.14570871  1.85847903  3.56976241  2.49985228  8.76585567  0.32874698
#>   [85]  3.37593345  1.75637224  1.16417391  7.55251525  4.84046571  1.29696717
#>   [91]  2.03659937  5.46458761  3.72128324  1.36323183  1.76177587  1.43706368
#>   [97]  1.00582573  9.71088684  2.13172928  3.29119395  4.40645067  0.69644340
#>  [103]  4.99582532  7.70037345  3.39809021  1.99772780  3.35035465  4.73538653
#>  [109]  1.10587039  2.42471149  2.25526362  4.49361791  1.44845741  4.57639174
#>  [115]  1.51508082  3.26341564  2.24717564  3.16580377  4.58149210  3.73099162
#>  [121]  1.78142191  2.89673547  0.39502906  0.83548428  1.00539015  2.86610834
#>  [127]  0.96766246  4.57337115  5.90141743  4.85611380  2.81050495  1.54174192
#>  [133]  3.29434955  5.73057968  5.77483046  8.51276234  1.13522309  1.77419653
#>  [139]  1.45574254  0.54192770  0.79186478  1.20859457  4.86198131  3.50757729
#>  [145]  0.45633212  2.37990545  0.68512203  2.17410671  1.79288635  0.10510273
#>  [151]  2.06709898  2.73894562  1.22270435  1.35986532  0.83369914  1.14621296
#>  [157]  0.41267703  0.84226565  4.13323334  5.86251319  2.40497189  0.89610658
#>  [163]  0.51525025  2.73015646  5.26385195  4.80942635  3.67528114  4.77562289
#>  [169]  0.95773166  1.83281910  2.74197606  7.79222559  2.87883949  0.08723352
#>  [175]  1.35856609  0.84201580  5.45198659  3.29386705  2.75825297  2.45819555
#>  [181]  0.41110580  0.19268189  1.85083366  5.20588428 10.26767869  0.15212013
#>  [187]  2.85479326  5.75571025  4.70432311  2.74183527  1.79706103  0.60768821
#>  [193]  4.67198063  1.52866019  1.86780437  7.78071600  6.74957561  0.85190143
#>  [199]  0.37713769  0.47000732  5.38118905  1.23398599  3.47339801  0.29084811
#>  [205]  2.13055328  3.49121771  2.18808016  4.70686514  2.59141246  2.67483161
#>  [211]  4.80333382  4.78707611  8.76486891  0.28277622  2.81788240  1.78780388
#>  [217]  1.61060662  1.52986136  2.46297898  5.33628196  3.12175031  1.52947654
#>  [223]  2.83607295  3.83050633  2.14571503  4.57318635  1.55125634  3.60333268
#>  [229]  6.79333233  1.76136075  4.46917492  2.59901110  4.30836143  0.16327690
#>  [235]  1.34587675  1.72486745  0.38189937  6.01623366  2.03269003  4.25540426
#>  [241]  4.00199194  0.71732105  0.15058381  5.29077425  4.68265731  6.70381081
#>  [247]  4.26465824  8.20350862  4.51453938  9.39296868  3.40740602  2.28110064
#>  [253]  5.05759761  6.16899407  5.60257765  1.41287815  0.81707522  1.53301901
#>  [259]  2.40393501  0.67154682  4.83400004  1.91391408  4.45161137  6.35834171
#>  [265]  2.14964349  0.19276003  1.76752154  0.89374681  3.33814616  0.47329205
#>  [271]  0.29657827  9.63694440  6.30702922  4.33242009  0.50200389  2.65134024
#>  [277]  0.49766402  2.79406291  1.97015337  2.36938402  8.86247352 10.71324141
#>  [283]  6.84954763  2.93897492  3.36378319  1.71366961  3.10490735  6.88868258
#>  [289]  5.20838818  4.61635615  4.88469094  1.69388612  2.07882130  2.82185548
#>  [295]  1.44042788  0.80525800  1.51083096  6.78560723  0.79414960  1.05432603
#>  [301]  1.04459869  0.64587062  1.78544756  7.82639515  2.14729548  9.79585771
#>  [307]  3.32865362  4.32877019  1.53245765  1.86259511  1.24086491  1.48782080
#>  [313]  1.18630041  2.71843794  1.05466929  0.89374181  3.21507500  1.06832169
#>  [319]  0.11674407  2.33200361  4.03468510  0.31152066  1.22653861  7.41076788
#>  [325] 18.53327569  0.33646567  0.61507217  1.27002832  0.64742418  0.72255899
#>  [331]  1.52197162  4.30428182  0.52473482  6.21632235  2.59175189  1.89718312
#>  [337]  6.47531406  7.54468192  0.02458963  2.06167374  0.70889137  1.00710274
#>  [343]  1.22476570  6.06656285  5.62884830  6.87469888  5.81048195  1.64266812
#>  [349]  6.45807941  3.02851444  2.21981540  3.66997020  1.60358541  2.94272927
#>  [355]  1.39646855  0.21575536  1.67367618  7.91781611  2.24151430  0.21287284
#>  [361]  0.21307721  0.25598910  3.02546727  9.24158160  5.93053908  0.44673679
#>  [367]  3.15961892  0.42173610  2.03600823  4.60234385  1.57025438  0.69343393
#>  [373]  2.97885923  2.59573111  1.43077528  4.01688613  1.12801881  0.67481305
#>  [379]  0.43565150  3.09947217  0.36786121  3.93984189  2.88318338  4.18709921
#>  [385]  6.19666445  5.52195472  1.26594492  2.21842192 12.79274135  9.89889349
#>  [391]  2.92296342  0.53922333  3.38291926  0.78360154  1.08996531  0.78129471
#>  [397]  4.35450326  2.71522661  0.84268741  1.46534500  1.61416540  6.49497404
#>  [403]  2.04899661  2.03083237  7.91832529  3.96464609  1.22327536  2.38707063
#>  [409]  2.34223114  4.74036171  1.91431867  2.76554890  2.11584534  3.35745784
#>  [415]  2.70600154  2.76481938  1.77992935  0.96099490  6.15379587  4.07284306
#>  [421]  3.66754231  4.91102892  7.43817525  5.09866027  3.48587319  1.62510578
#>  [427]  1.15444555  4.24276957  2.99608774  2.17280126  5.37577822  1.88339672
#>  [433]  1.32338835  0.37664978  7.34144639  3.85410150  3.36302727  3.43875386
#>  [439]  2.09223300  7.30895266  3.21351085  4.27676837  4.40977549  0.26660710
#>  [445]  1.65725274  4.83032673  8.72786838  4.47166165  1.72728531  2.55075766
#>  [451]  5.69809060  0.65311035  2.71308402  1.21243021  4.48288950  0.88119922
#>  [457]  0.71628526  5.89261997  0.36467796  1.61901104  3.46356011  0.85773670
#>  [463]  2.00348149  4.66244997  1.48970164  1.10055460  3.17818477  1.72200117
#>  [469]  1.97277906  4.14261978  3.84731158  1.72506496  0.86953794  0.50458018
#>  [475]  6.94835334  1.25022489  0.47734829  4.95072101  1.45318360  1.74231059
#>  [481]  3.36415470  9.83336424  2.91961143  0.52855567  0.70395068  1.06874251
#>  [487]  0.78987304  9.19394316  1.60800415  1.61274121  0.95472330  2.69099246
#>  [493]  4.18162026  0.24117569  3.07075108  0.29974539  4.09729210  1.09282441
#>  [499]  0.69951177  1.10923564  5.37454694  8.35738260  2.64948073  8.03513092
#>  [505]  1.40600540  2.36500719  2.52605983  2.68729291  1.22569696  1.71778608
#>  [511]  2.61333285  2.08958891  3.73312137  1.84565344  5.59817897  0.92742575
#>  [517]  0.72927588  1.05024681  1.49557295  1.87208703  3.24822257  0.86067467
#>  [523]  8.97682738  1.16441900  5.15089841  0.84843022  4.24407518  3.42766784
#>  [529]  3.66179795  1.67115803  4.09213979  3.05532815  4.37781076  1.05697790
#>  [535]  1.63721237  3.27319186  5.02878771  4.51765449  1.58045126  0.40893554
#>  [541]  1.58437828  2.00632910  0.63257895  4.55350963  7.32832920  6.65939115
#>  [547]  1.53132886  8.14515415  3.58482530  3.54913755  4.48942963  4.78711573
#>  [553]  7.40410297  0.95041575  6.40633940  0.89346769  4.20540905  2.76442906
#>  [559]  3.08537327  1.01855330  4.96353798  7.77415739  5.73551524  1.35159882
#>  [565]  0.78086637  3.63277099 10.07206022  3.02650480  3.01144936  6.30665791
#>  [571]  7.87458885  2.66499830  1.48477004  1.99101324  0.53108347  2.40027317
#>  [577]  2.23023553  0.84066272  2.23164477  0.52891234  2.94711889  1.26487505
#>  [583]  0.51258236  3.77901653  1.18171501  3.88001130  1.84724920  4.66073784
#>  [589]  0.61924565  1.77483569  1.46283900  0.35000626  1.51117288  4.00613306
#>  [595]  4.06720525  1.08460383  2.67249532  1.73644274  1.05377159  5.37495870
#>  [601]  2.67404442  8.44188011  2.75269482  3.54013802  0.55068633  4.03850670
#>  [607]  1.85459785  3.83857335  1.32984179  1.25781724  2.10499598  4.29814007
#>  [613]  4.04210783  0.20389593  0.93922376  3.87572637  1.76794319  3.29089273
#>  [619]  2.98976570  3.41303806  1.72043110  2.54989143  3.52882514  2.45725962
#>  [625]  1.81286413  0.76052127  7.98741398  2.50648204  2.75110537 10.69561551
#>  [631]  0.27333842  6.43448036  8.22369516  2.43161962  0.65076850  2.52771484
#>  [637]  4.87144114  4.34119029  3.09660537  2.42838889  1.50396241  1.09488562
#>  [643]  4.46333950  0.03728566  1.71496431  1.67616021  2.64274602  4.21335569
#>  [649]  7.46365518  6.18333933  5.64113731  4.61596281  0.29918677  0.62254456
#>  [655]  0.32590511  4.39452171  0.87494952  2.50730063  4.04166030  1.58401461
#>  [661]  1.70299266  3.06493018  4.81158683  2.29963836  1.66563961  1.62953781
#>  [667]  0.13852085  1.26681037  2.25991906  0.81416962  2.45714432  7.66249410
#>  [673]  1.48227726  7.81682812  8.56484736  2.17944657  4.04878506  1.99306926
#>  [679]  2.83697424  8.02710807  5.27358549  1.44716037  2.17287123  3.16699932
#>  [685]  0.39955453  3.00712192  1.31223047  1.55986923  2.26996639  1.78735544
#>  [691]  0.58007749  0.83543060  1.32051328  5.38012877  4.79808497  1.59404328
#>  [697]  1.40992440  6.74658542  2.49336171 10.13376515  2.98112510  1.94817480
#>  [703]  4.77013713  1.86129832  1.87382353  3.85992066  5.31838681  1.94128178
#>  [709]  1.83267691  2.57035507  8.28580695  2.32792911  3.36805932  1.89041239
#>  [715]  0.91036900  0.87385515  0.48594529  6.97418447  1.66361330  5.63091397
#>  [721]  3.39599088  2.97934215  4.75682175  0.93171163  3.01050145  3.60755813
#>  [727]  2.42865394  1.19204268  3.11431934  0.24785111  3.74576428  6.87445586
#>  [733]  0.92427353  2.14717492  0.13962754  2.17439762  0.50192875  3.41472647
#>  [739]  1.46582653  6.08146637  6.42911607  4.82602263  0.33715186  2.08265938
#>  [745]  1.82832427  2.15445495  3.26398364  2.02547828  1.04696418  3.22535560
#>  [751]  4.49972159  2.44552177  6.96161948  1.88624286  1.79320302  3.41812962
#>  [757]  7.95885216  3.64474087  0.94390205  7.81823694  6.35974229  0.91877284
#>  [763]  9.60591168  1.65655673 10.62005574  0.62751497  3.46414750  2.24493802
#>  [769]  5.74605957  1.48770790  1.58967195  2.80529749  0.96169805  3.48902606
#>  [775]  1.93183862  7.99341791  1.56955526  0.29267755  2.30077289  2.70636164
#>  [781]  8.80017889  2.71520423  2.22560328  1.37504472  0.68742678  0.38374330
#>  [787]  0.16414466  1.37850828  3.04079427  4.07138855  5.55571651  4.61463895
#>  [793]  3.85835633  1.28753017  4.54718730  3.85109197  8.20986582  0.34711643
#>  [799]  1.16578207  3.72921511  4.00906147  0.71529816  0.80846440  0.98416248
#>  [805]  3.85161611  0.64668375  4.83540004  1.06352868  6.02460898  2.90257573
#>  [811]  0.71170465  3.13232339  3.66660137  0.98312857  1.22155672  2.99821559
#>  [817]  3.49185837  2.46237268  4.62072280  4.65894645  0.89653651  0.53186119
#>  [823]  1.43281503  6.24716934  1.63820639  0.76868066  0.90870636  4.51844752
#>  [829]  1.74764941  2.20973497  9.38831390  1.18960870  0.16624401  2.17969562
#>  [835]  0.98612625  6.49703024  6.75898251  1.40769676  3.07271416  4.91302668
#>  [841]  5.09761957  2.50242088  0.67562463  6.30162774  1.72413743  1.59249551
#>  [847]  0.60339322  1.00310585  2.55098620  2.03325447  0.86975430  8.14075097
#>  [853]  6.47666742  2.28164712  5.94055492  1.31657663  0.82702225 10.64720528
#>  [859]  0.87356384  1.27360958  7.22299577  1.33888239  0.46101626  1.05586036
#>  [865]  0.57213589  5.34654805  4.50640163  0.44772563  1.43882895  2.78940297
#>  [871]  1.34634939  1.87993106  2.67058917  2.05271231  0.58086003  9.22766027
#>  [877]  1.15711073  1.79220575  0.50784261  1.38182835  3.87949304  1.68367236
#>  [883]  3.42208904  3.24981646  1.48731514  1.85802248  4.26250706  4.74258223
#>  [889]  0.36908902  0.41386665  5.75290981 15.88355528  4.60554869  4.14563482
#>  [895]  0.40345327  0.34267150  9.16361479  2.38370145  0.34228328  2.53232008
#>  [901]  7.61950251  3.14661639  1.70900241  2.75877293  0.86389480  0.43838937
#>  [907]  1.55095240  2.44675063  2.15310711  2.01412623  1.66279004  1.26875435
#>  [913]  1.29929112  0.46912553  3.56881958  0.87937276  4.12749984  1.82478326
#>  [919]  0.87103870  4.65791415  0.64910049  2.60525595  5.35403504 10.09580926
#>  [925]  3.02129761  7.03439358  4.44748203  6.17882887  2.31992782  2.15014216
#>  [931]  3.63904014  5.92689704  5.46363269  4.04257732  0.50783478  6.12238139
#>  [937]  0.31226438  3.31117042  3.19389744  1.03509419  0.75776843  3.38777222
#>  [943]  1.17077975  1.40295552  4.65813171  5.89373146  0.88847148  0.74605694
#>  [949]  0.56743607  2.47989696  9.30681322  7.72450117  0.86180226  1.33078074
#>  [955]  2.82823233  0.55206176  5.58703413  6.08782930  1.34915372  3.53842089
#>  [961]  4.13880618  1.14322856  3.31412805  1.40814159  2.25340661  1.96963811
#>  [967]  3.50303455  2.57809260  1.55388136  5.84884560  9.97662774  1.34798766
#>  [973]  5.43171406  1.35933320  2.50265504  1.64333419  2.93443074  0.81918658
#>  [979]  1.97504937  0.62949493  1.88912812  3.85807478  0.25412444  2.60010603
#>  [985]  1.84949058  0.92439857  3.68563633  1.24743530  2.29175999  3.58899278
#>  [991]  4.32203566  2.73350393  4.47722957  0.44006726  0.20491528  1.90424279
#>  [997]  2.42669058  3.43243227  4.78156439  1.63954599