How to pull a data frame from within the function?

[klg-2016]

https://github.com/kaitlyngaynor/gorongosa-mesocarnivores/blob/955c823c975f2810280dc8b99607a169bcced54a/scripts/multi-season%20model/01-multi-season-data-prep.R#L205

I'm trying to make it so that DetHist_complete is accessible outside the function for each species. That's what goes into the umf. When I run this line, something happens to one of the rows/cameras (the output only has 59 rows), and the columns/rows have funky names. Is there a more straightforward way to achieve what I'm trying to do? /Can you see anything immediately wrong with how I'm doing what I'm trying to do?

[klg-2016]

When I just run a single season's detection history, the row names are the site names, and the column names are "detection_history.o1"... (Not sure those names will matter when making the umf)

[klg-2016]

I ran it again and got this: Parsed with column specification: cols( .default = col_double() ) See spec(...) for full column specifications. Warning messages: 1: Missing column names filled in: 'X123' [123], 'X124' [124], 'X125' [125], 'X126' [126], 'X127' [127], 'X128' [128], 'X129' [129], 'X130' [130], 'X131' [131], 'X132' [132], 'X133' [133], 'X134' [134], 'X135' [135], 'X136' [136], 'X137' [137], 'X138' [138], 'X139' [139], 'X140' [140], 'X141' [141], 'X142' [142], 'X143' [143], 'X144' [144], 'X145' [145], 'X146' [146], 'X147' [147], 'X148' [148], 'X149' [149], 'X150' [150], 'X151' [151], 'X152' [152], 'X153' [153], 'X154' [154], 'X155' [155], 'X156' [156], 'X157' [157], 'X158' [158], 'X159' [159], 'X160' [160], 'X161' [161], 'X162' [162], 'X163' [163], 'X164' [164], 'X165' [165], 'X166' [166], 'X167' [167], 'X168' [168], 'X169' [169], 'X170' [170], 'X171' [171], 'X172' [172], 'X173' [173], 'X174' [174], 'X175' [175], 'X176' [176], 'X177' [177], 'X178' [178], 'X179' [179], 'X180' [180], 'X181' [181], 'X182' [182], 'X183' [183], 'X184' [184], 'X185' [185], 'X186' [186], 'X187' [187], 'X188' [188], 'X189' [189], 'X190' [190], 'X191' [191], 'X192' [192], 'X193' [193], 'X194' [194], 'X195' [195], 'X196' [196], 'X197' [197], 'X198' [198], 'X199' [199], 'X200' [200], 'X201' [201], 'X202' [202], 'X203' [203], 'X204' [204], 'X205' [205], 'X206' [206], 'X207' [207], 'X208' [208], 'X209' [209], 'X210' [210], 'X211' [211], 'X212' [212], 'X213' [213], 'X214' [214], 'X215' [215], 'X216' [216], 'X217' [217], 'X218' [218], 'X219' [219], 'X220' [220], 'X221' [221], 'X222' [222], 'X223' [223], 'X224' [224], 'X225' [225], 'X226' [226], 'X227' [227], 'X228' [228], 'X229' [229], 'X230' [230], 'X231' [231], 'X232' [232], 'X233' [233], 'X234' [234], 'X235' [235], 'X236' [236], 'X237' [237], 'X238' [238], 'X239' [239], 'X240' [240], 'X241' [241], 'X242' [242], 'X243' [243], 'X244' [244], 'X245' [245], 'X246' [246], 'X247' [247], 'X248' [248], 'X249' [249], 'X250' [250], 'X251' [251], 'X252' [252], 'X253' [253], 'X254' [254], 'X255' [255], 'X256' [256], 'X257' [257], 'X258' [258], 'X259' [259], 'X260' [260], 'X261' [261], 'X262' [262], 'X263' [263], 'X264' [264], 'X265' [265], 'X266' [266], 'X267' [267], 'X268' [268], 'X269' [269], 'X270' [270], 'X271' [271], 'X272' [272], 'X273' [273], 'X274' [274], 'X275' [275], 'X276' [276], 'X277' [277], 'X278' [278], 'X279' [279], 'X280' [280], 'X281' [281], 'X282' [282], 'X283' [283], 'X284' [284], 'X285' [285], 'X286' [286], 'X287' [287], 'X288' [288], 'X289' [289], 'X290' [290], 'X291' [291], 'X292' [292], 'X293' [293], 'X294' [294], 'X295' [295], 'X296' [296], 'X297' [297], 'X298' [298], 'X299' [299], 'X300' [300], 'X301' [301], 'X302' [302], 'X303' [303], 'X304' [304], 'X305' [305], 'X306' [306], 'X307' [307], 'X308' [308], 'X309' [309], 'X310' [310], 'X311' [311], 'X312' [312], 'X313' [313], 'X314' [314], 'X315' [315], 'X316' [316], 'X317' [317], 'X318' [318], 'X319' [319], 'X320' [320], 'X321' [321], 'X322' [322], 'X323' [323], 'X324' [324], 'X325' [325], 'X326' [326], 'X327' [327], 'X328' [328], 'X329' [329], 'X330' [330], 'X331' [331], 'X332' [332], 'X333' [333], 'X334' [334], 'X335' [335], 'X336' [336], 'X337' [337], 'X338' [338], 'X339' [339], 'X340' [340], 'X341' [341], 'X342' [342], 'X343' [343], 'X344' [344], 'X345' [345], 'X346' [346], 'X347' [347], 'X348' [348], 'X349' [349], 'X350' [350], 'X351' [351], 'X352' [352], 'X353' [353], 'X354' [354], 'X355' [355], 'X356' [356], 'X357' [357], 'X358' [358], 'X359' [359], 'X360' [360], 'X361' [361], 'X362' [362], 'X363' [363], 'X364' [364], 'X365' [365], 'X366' [366], 'X367' [367], 'X368' [368], 'X369' [369], 'X370' [370], 'X371' [371], 'X372' [372], 'X373' [373], 'X374' [374], 'X375' [375], 'X376' [376], 'X377' [377], 'X378' [378], 'X379' [379], 'X380' [380], 'X381' [381], 'X382' [382], 'X383' [383], 'X384' [384], 'X385' [385], 'X386' [386], 'X387' [387], 'X388' [388], 'X389' [389], 'X390' [390], 'X391' [391], 'X392' [392], 'X393' [393], 'X394' [394], 'X395' [395], 'X396' [396], 'X397' [397], 'X398' [398], 'X399' [399], 'X400' [400], 'X401' [401], 'X402' [402], 'X403' [403], 'X404' [404], 'X405' [405], 'X406' [406], 'X407' [407], 'X408' [408], 'X409' [409], 'X410' [410], 'X411' [411], 'X412' [412], 'X413' [413], 'X414' [414], 'X415' [415], 'X416' [416], 'X417' [417], 'X418' [418], 'X419' [419], 'X420' [420], 'X421' [421], 'X422' [422], 'X423' [423], 'X424' [424], 'X425' [425], 'X426' [426], 'X427' [427], 'X428' [428], 'X429' [429], 'X430' [430], 'X431' [431], 'X432' [432], 'X433' [433], 'X434' [434], 'X435' [435], 'X436' [436], 'X437' [437], 'X438' [438], 'X439' [439], 'X440' [440] 2: Duplicated column names deduplicated: '0' => '0_1' [3], '0' => '0_2' [4], '0' => '0_3' [5], '0' => '0_4' [6], '0' => '0_5' [7], '0' => '0_6' [8], '0' => '0_7' [9], '0' => '0_8' [10], '0' => '0_9' [11], '0' => '0_10' [12], '0' => '0_11' [13], '0' => '0_12' [14], '0' => '0_13' [15], '0' => '0_14' [16], '0' => '0_15' [17], '0' => '0_16' [18], '0' => '0_17' [19], '0' => '0_18' [20], '0' => '0_19' [21], '0' => '0_20' [22], '0' => '0_21' [23], '0' => '0_22' [24], '0' => '0_23' [25], '0' => '0_24' [26], '0' => '0_25' [27], '0' => '0_26' [28], '1' => '1_1' [29], '0' => '0_27' [30], '0' => '0_28' [31], '0' => '0_29' [32], '0' => '0_30' [33], '0' => '0_31' [34], '0' => '0_32' [35], '0' => '0_33' [36], '0' => '0_34' [37], '0' => '0_35' [38], '0' => '0_36' [39], '0' => '0_37' [40], '0' => '0_38' [41], '0' => '0_39' [42], '0' => '0_40' [43], '0' => '0_41' [44], '0' => '0_42' [45], '0' => '0_43' [46], '0' => '0_44' [47], '0' => '0_45' [48], '0' => '0_46' [49], '0' => '0_47' [50], '0' => '0_48' [51], '0' => '0_49' [52], '0' => '0_50' [53], '0' => '0_51' [54], '0' => '0_52' [55], '1' => '1_2' [56], '1' => '1_3' [57], '0' => '0_53' [58], '0' => '0_54' [59], '1' => '1_4' [60], '1' => '1_5' [61], '1' => '1_6' [62], '0' => '0_55' [63], '0' => '0_56' [64], '0' => '0_57' [65], '0' => '0_58' [66], '0' => '0_59' [67], '0' => '0_60' [68], '0' => '0_61' [69], '0' => '0_62' [70], '0' => '0_63' [71], '0' => '0_64' [72], '0' => '0_65' [73], '0' => '0_66' [74], '0' => '0_67' [75], '0' => '0_68' [76], '0' => '0_69' [77], '0' => '0_70' [78], '0' => '0_71' [79], '0' => '0_72' [80], '0' => '0_73' [81], '1' => '1_7' [82], '0' => '0_74' [83], '0' => '0_75' [84], '0' => '0_76' [85], '0' => '0_77' [86], '1' => '1_8' [87], '0' => '0_78' [88], '0' => '0_79' [89], '1' => '1_9' [90], '0' => '0_80' [91], '0' => '0_81' [92], '0' => '0_82' [93], '1' => '1_10' [94], '0' => '0_83' [95], '1' => '1_11' [96], '0' => '0_84' [97], '0' => '0_85' [98], '0' => '0_86' [99], '0' => '0_87' [100], '0' => '0_88' [101], '1' => '1_12' [102], '1' => '1_13' [103], '0' => '0_89' [104], '0' => '0_90' [105], '0' => '0_91' [106], '0' => '0_92' [107], '0' => '0_93' [108], '0' => '0_94' [109], '0' => '0_95' [110], '0' => '0_96' [111], '0' => '0_97' [112], '1' => '1_14' [113], '0' => '0_98' [114], '0' => '0_99' [115], '0' => '0_100' [116], '0' => '0_101' [117], '0' => '0_102' [118], '0' => '0_103' [119], '0' => '0_104' [120], '0' => '0_105' [121], '0' => '0_106' [122]

[klg-2016]

(Sorry for the dump, I'm just trying to keep track of what I'm figuring out)

[klg-2016]

This is what the output looks like:

[klg-2016]

This line might be working! DetHist_genet_complete <- read.csv("data/gorongosa-cameras/derived/genet_complete.csv", header = FALSE)

Will report back

[klg-2016]

Spot checking, it looks fine--I seem to remember something about using read_csv instead of read.csv; is that something I should worry about?

[kaitlyngaynor]

read_csv and read.csv do different things with formatting (including of column names that start with numbers) so yes, it does matter which you use in some cases (but not all). have a look and see which you need for your purposes!

[klg-2016]

gotcha--in this case, it seems like read.csv is doing what I want it to do/what I think it should be doing, so I'll stick with it for now