reshape_msd | R Documentation |
'reshape_msd' transforms the structure into a tidy format. The default reshape, makes the whole dataset long by period, but other options include wide to match the original MSD, semi-wide for a separate column for targets, cumulative, and results, and then a quarterly one which keeps the targets (and cumulative) in their own columsn but makes the quarters long. Reshaping tidy is key for much of OHA/SI processes and analysis.
reshape_msd(
df,
direction = c("long", "wide", "semi-wide", "quarters"),
include_type = TRUE,
qtrs_keep_cumulative = FALSE
)
df |
MSD dataset in the semi-wide format |
direction |
direction of reshape, "long" (default), "wide" (original MSD structure), "semi-wide" (one column for targets, cumulative, results) or "quarters" (quarters pivoted, but not targets - useful for quarterly achievement)). |
include_type |
whether a period_type column (targets, results, cumulative) should be included, default = TRUE |
qtrs_keep_cumulative |
whether to keep the cumulative column when using quarters for direction, default = FALSE |
## Not run:
#read in data
df_genie <- match_msd("~/Downloads/PEPFAR-Data-Genie-PSNUByIMs-2018-08-15.zip")
#reshape long
df_genie_long <- reshape_msd(df_genie)
#reshape wide (to look like old format)
df_genie_long <- reshape_msd(df_genie, direction = "wide")
#reshape semi-wide (one column for targets, cumulative, results)
df_genie_wide <- reshape_msd(df_genie, direction = "semi-wide")
#reshape quarters (quarters pivoted, but not targets - useful for quarterly achievement)
df_genie_wide <- reshape_msd(df_genie, direction = "semi-wide")
## End(Not run)
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